{smcl}
{txt}{sf}{ul off}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Jayson\Desktop\Regression_Analysis.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}13 Feb 2025, 02:16:49
{txt}
{com}. 
. cd C:\Users\Jayson\Desktop
{res}C:\Users\Jayson\Desktop
{txt}
{com}. 
. use Data2025.dta, clear
{txt}
{com}. 
. xtset idind time
{res}
{col 1}{txt:Panel variable: }{res:idind}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:time}{txt:, }{res:{bind:1}}{txt: to }{res:{bind:4}}{txt:, but with gaps}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. 
{txt}end of do-file

{com}. do "C:\Users\Jayson\AppData\Local\Temp\STD4320_000000.tmp"
{txt}
{com}. /*
> Treatment variable:
> SM : Have access to a supermarkets within 5 km (Dummy variable)
> 
> 
> Control Variables:
> age :            Years of age
> age2 :           Squared years of age
> lnincome :       ln(Per capita household income (CNY) inflated to 2011 prices)
> v29 :            Intensity of activity at work, on a scale of 1 to 5 from very slight activity to very heavy activity
> dk :             Score for individual dietary knowledge
> hhsize :         Number of family members
> agridiversity :  Families' number of farming activities (crop farming, fishing, gardening, and livestock), range (0-4)
> car :            Does household own a car? 1 if yes and 0 if no
> motorcycle :     Does household own a motorcycle? 1 if yes and 0 if no
> market :         Aggregated index indicting the access (distance) to traditional food markets and number of days of operation
> restaurant :     Are there any restaurants in or near this community? 1 if yes and 0 if no
> econ :           Aggregated index indicating typical daily wage for ordinary male worker and percent of the populations engaged in non-agricultural work
> fridge :         Does household own a refrigerator? 1 if yes and 0 if no
> microwave :      Does household own a microwave? 1 if yes and 0 if no
> pressure_cooker: Does household own a pressure cooker? 1 if yes and 0 if no
> 
> 
> Outcomevariables:
> shoppingtime: Women's food shopping time (in minutes)
> lnshoppingtime: ln(Women's food shopping time)
> cookingtime: Women's food cooking time (in minutes)
> lncookingtime: ln(Women's food cooking time)
> 
> Energy : Individual's calorie intake (Kcal)
> Protein : Individual's protein intake (Grams)
> Fat : Individual's fat intake (Grams)
> Carbohydrate : Individual's carbohydrate intake (Grams)
> 
> 
> Energy_unprocessed : Individual's calorie intake from unprocessed foods
> Energy_moderate : Individual's calorie intake from moderately processed foods
> Energy_highly : Individual's calorie intake from highly processed foods
> 
> Protein_unprocessed : Individual's protein intake from unprocessed foods
> Protein_moderate : Individual's protein intake from moderately processed foods
> Protein_highly : Individual's protein intake from highly processed foods
> 
> Fat_unprocessed : Individual's fat intake from unprocessed foods
> Fat_moderate : Individual's fat intake from moderately processed foods
> Fat_highly : Individual's fat intake from highly processed foods
> 
> Carbohydrate_unprocessed : Individual's carbohydrate intake from unprocessed foods
> Carbohydrate_moderate : Individual's carbohydrate intake from moderately processed foods
> Carbohydrate_highly : Individual's carbohydrate intake from highly processed foods
> 
> DietaryDiversity : DDS
> DietaryBalance : CFPS
> DietaryNutrientDensity : DNDS
> 
> EnergyFromFat : Share of energy intake from fat (range, 0-1)
> EnergyFromFat30 : Dummy variable: share of energy intake from fat exceeds 30%
> 
> 
> CFPS_salt CFPS_oil CFPS_staples CFPS_vegetables CFPS_fruits CFPS_meat CFPS_legumes CFPS_milk : Sub-scores of CFPS
> 
> BMI : Body mass index
> Overweight : Dummy
> Obesity : Dummy
> 
> PaidWork :         Participation in paid work (dummy)
> lnWorkTime :       ln(Hours spent on paid work per week)
> lnOtherHousework : ln(Time spent on other housework)
> lnLeisure :        ln(Time for leisure)
> lnSleeping :       ln(Time for sleeping)
> 
> HHhighincome : High-income households (Dummy)
> HighDDS :      High dietary diversity (Dummy)
> HighCFPS :     High dietary balance (Dummy)
> HighDNDS :     High dietary nutrient density (Dummy)
> 
> adequateEnergy : Adequate energy intake (Dummy)
> adequateProtein : Adequate protein intake (Dummy)
> 
> 
> Fixed effects:
> idind :       Individual fixed effects
> wave :        Year fixed effects
> i.wave#i.t1 : Province-by-year fixed effects
> 
> 
> Sample1 = 1 : Sample used for analysis (excluding outliers) (Time for shopping and cooking != 0)
> Sample2 = 1 : Sample used for analysis (excluding outliers)
> main_shopping : Only keep women who take the main responsibility for shopping in households
> main_cooking : Only keep women who take the main responsibility for cooking in households
> Anthropometric = 1 : Anthropometric variables are collected.
> alwaystreated : Have access to supermarkets in all survey waves (Dummy)
> 
> 
> GENDER = 1 if Male, = 2 if Female
> 
> */
. 
{txt}end of do-file

{com}. do "C:\Users\Jayson\AppData\Local\Temp\STD4320_000000.tmp"
{txt}
{com}. global controls1 "age age2 lnincome v29 dk hhsize agridiversity car motorcycle market restaurant"
{txt}
{com}. global controls2 "age age2 lnincome v29 dk hhsize agridiversity car motorcycle market restaurant econ"
{txt}
{com}. global controls3 "age age2 lnincome v29 dk hhsize agridiversity car motorcycle market restaurant econ fridge microwave pressure_cooker"
{txt}
{com}. 
. 
. ********************************************************************************
. *                                  Figure 2                                    *
. ********************************************************************************
. 
{txt}end of do-file

{com}. do "C:\Users\Jayson\AppData\Local\Temp\STD4320_000000.tmp"
{txt}
{com}. **Fig. 2a(1)
. xthdidregress ra (lnshoppingtime            i.wave#i.t1) (SM) if Sample1==1 & GENDER==2 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER) 
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3579
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      216
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1239
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      713
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:5,747}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,453}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0339691{col 26}{space 2} .1061843{col 37}{space 1}    0.32{col 46}{space 3}0.749{col 54}{space 4}-.1741484{col 67}{space 3} .2420865
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1046673{col 26}{space 2} .2343043{col 37}{space 1}   -0.45{col 46}{space 3}0.655{col 54}{space 4}-.5638953{col 67}{space 3} .3545607
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.2781718{col 26}{space 2} .2297479{col 37}{space 1}   -1.21{col 46}{space 3}0.226{col 54}{space 4}-.7284695{col 67}{space 3} .1721258
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0075109{col 26}{space 2}   .07701{col 37}{space 1}   -0.10{col 46}{space 3}0.922{col 54}{space 4}-.1584478{col 67}{space 3} .1434259
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2332521{col 26}{space 2} .1565665{col 37}{space 1}   -1.49{col 46}{space 3}0.136{col 54}{space 4}-.5401169{col 67}{space 3} .0736126
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.3734297{col 26}{space 2}  .140796{col 37}{space 1}   -2.65{col 46}{space 3}0.008{col 54}{space 4}-.6493848{col 67}{space 3}-.0974746
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0105219{col 26}{space 2}  .115255{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.2364176{col 67}{space 3} .2153738
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0477979{col 26}{space 2} .1722261{col 37}{space 1}    0.28{col 46}{space 3}0.781{col 54}{space 4}-.2897591{col 67}{space 3} .3853548
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0937493{col 26}{space 2}  .131117{col 37}{space 1}    0.72{col 46}{space 3}0.475{col 54}{space 4}-.1632352{col 67}{space 3} .3507339
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,747}

{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}lnshopping~e{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-.1871184{col 26}{space 2} .0971681{col 37}{space 1}   -1.93{col 46}{space 3}0.054{col 54}{space 4}-.3775643{col 67}{space 3} .0033275
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Fig. 2a(2)
. xthdidregress ra (lnshoppingtime $controls1 i.wave#i.t1) (SM) if Sample1==1 & GENDER==2 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER) 
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3465
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      212
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1217
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      682
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:5,576}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,366}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0149734{col 26}{space 2} .1097185{col 37}{space 1}   -0.14{col 46}{space 3}0.891{col 54}{space 4}-.2300176{col 67}{space 3} .2000709
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -.118293{col 26}{space 2} .2092496{col 37}{space 1}   -0.57{col 46}{space 3}0.572{col 54}{space 4}-.5284147{col 67}{space 3} .2918286
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.3659053{col 26}{space 2} .2246166{col 37}{space 1}   -1.63{col 46}{space 3}0.103{col 54}{space 4}-.8061457{col 67}{space 3} .0743351
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0244646{col 26}{space 2} .0840461{col 37}{space 1}    0.29{col 46}{space 3}0.771{col 54}{space 4}-.1402627{col 67}{space 3}  .189192
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2642969{col 26}{space 2} .1627686{col 37}{space 1}   -1.62{col 46}{space 3}0.104{col 54}{space 4}-.5833174{col 67}{space 3} .0547237
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.3827099{col 26}{space 2}  .164281{col 37}{space 1}   -2.33{col 46}{space 3}0.020{col 54}{space 4}-.7046947{col 67}{space 3}-.0607252
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0310745{col 26}{space 2} .1159997{col 37}{space 1}   -0.27{col 46}{space 3}0.789{col 54}{space 4}-.2584296{col 67}{space 3} .1962806
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0370556{col 26}{space 2} .1821277{col 37}{space 1}    0.20{col 46}{space 3}0.839{col 54}{space 4}-.3199081{col 67}{space 3} .3940193
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  .104308{col 26}{space 2} .1407163{col 37}{space 1}    0.74{col 46}{space 3}0.459{col 54}{space 4}-.1714909{col 67}{space 3} .3801069
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,576}

{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}lnshopping~e{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-.2108575{col 26}{space 2} .1048238{col 37}{space 1}   -2.01{col 46}{space 3}0.044{col 54}{space 4}-.4163084{col 67}{space 3}-.0054065
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Fig. 2a(3)
. xthdidregress ra (lnshoppingtime $controls2 i.wave#i.t1) (SM) if Sample1==1 & GENDER==2 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER) 
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3465
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      212
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1217
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      682
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:5,576}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,366}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0404181{col 26}{space 2} .1130967{col 37}{space 1}   -0.36{col 46}{space 3}0.721{col 54}{space 4}-.2620836{col 67}{space 3} .1812473
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -.241471{col 26}{space 2} .2346833{col 37}{space 1}   -1.03{col 46}{space 3}0.304{col 54}{space 4}-.7014418{col 67}{space 3} .2184998
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.4716212{col 26}{space 2} .2725959{col 37}{space 1}   -1.73{col 46}{space 3}0.084{col 54}{space 4}-1.005899{col 67}{space 3} .0626568
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0027296{col 26}{space 2} .0833589{col 37}{space 1}    0.03{col 46}{space 3}0.974{col 54}{space 4}-.1606508{col 67}{space 3} .1661099
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.3411066{col 26}{space 2} .1769312{col 37}{space 1}   -1.93{col 46}{space 3}0.054{col 54}{space 4}-.6878854{col 67}{space 3} .0056721
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.3613489{col 26}{space 2}  .178241{col 37}{space 1}   -2.03{col 46}{space 3}0.043{col 54}{space 4}-.7106948{col 67}{space 3} -.012003
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0431304{col 26}{space 2}  .114845{col 37}{space 1}   -0.38{col 46}{space 3}0.707{col 54}{space 4}-.2682224{col 67}{space 3} .1819616
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -.014787{col 26}{space 2} .1827987{col 37}{space 1}   -0.08{col 46}{space 3}0.936{col 54}{space 4} -.373066{col 67}{space 3} .3434919
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1032135{col 26}{space 2} .1410981{col 37}{space 1}    0.73{col 46}{space 3}0.464{col 54}{space 4}-.1733336{col 67}{space 3} .3797607
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,576}

{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}lnshopping~e{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-.2506611{col 26}{space 2} .1136227{col 37}{space 1}   -2.21{col 46}{space 3}0.027{col 54}{space 4}-.4733576{col 67}{space 3}-.0279646
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Fig. 2a(4)
. xthdidregress ra (lnshoppingtime $controls3 i.wave#i.t1) (SM) if Sample1==1 & GENDER==2 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3465
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      212
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1217
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      682
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:5,576}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,366}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0343932{col 26}{space 2} .1089257{col 37}{space 1}   -0.32{col 46}{space 3}0.752{col 54}{space 4}-.2478837{col 67}{space 3} .1790972
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2416951{col 26}{space 2} .2363532{col 37}{space 1}   -1.02{col 46}{space 3}0.306{col 54}{space 4}-.7049389{col 67}{space 3} .2215486
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.4490302{col 26}{space 2} .2795687{col 37}{space 1}   -1.61{col 46}{space 3}0.108{col 54}{space 4}-.9969748{col 67}{space 3} .0989143
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0017115{col 26}{space 2} .0843649{col 37}{space 1}   -0.02{col 46}{space 3}0.984{col 54}{space 4}-.1670636{col 67}{space 3} .1636407
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.3410712{col 26}{space 2} .1797125{col 37}{space 1}   -1.90{col 46}{space 3}0.058{col 54}{space 4}-.6933011{col 67}{space 3} .0111588
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.3397668{col 26}{space 2} .1695088{col 37}{space 1}   -2.00{col 46}{space 3}0.045{col 54}{space 4} -.671998{col 67}{space 3}-.0075357
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0613092{col 26}{space 2} .1193225{col 37}{space 1}   -0.51{col 46}{space 3}0.607{col 54}{space 4}-.2951769{col 67}{space 3} .1725586
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0338654{col 26}{space 2} .1887472{col 37}{space 1}    0.18{col 46}{space 3}0.858{col 54}{space 4}-.3360723{col 67}{space 3} .4038031
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1143475{col 26}{space 2}    .1405{col 37}{space 1}    0.81{col 46}{space 3}0.416{col 54}{space 4}-.1610274{col 67}{space 3} .3897224
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,576}

{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}lnshopping~e{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-.2415514{col 26}{space 2} .1131236{col 37}{space 1}   -2.14{col 46}{space 3}0.033{col 54}{space 4}-.4632697{col 67}{space 3}-.0198332
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Fig. 2a(5)
. xthdidregress ra (lncookingtime             i.wave#i.t1) (SM) if Sample1==1 & GENDER==2 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3756
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      228
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1250
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      713
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:5,947}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,603}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.1737868{col 26}{space 2} .1065628{col 37}{space 1}   -1.63{col 46}{space 3}0.103{col 54}{space 4}-.3826461{col 67}{space 3} .0350725
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2297836{col 26}{space 2} .2106855{col 37}{space 1}   -1.09{col 46}{space 3}0.275{col 54}{space 4}-.6427196{col 67}{space 3} .1831524
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.2285761{col 26}{space 2}  .141244{col 37}{space 1}   -1.62{col 46}{space 3}0.106{col 54}{space 4}-.5054092{col 67}{space 3}  .048257
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0303197{col 26}{space 2} .0840247{col 37}{space 1}   -0.36{col 46}{space 3}0.718{col 54}{space 4} -.195005{col 67}{space 3} .1343656
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1345459{col 26}{space 2} .1658163{col 37}{space 1}   -0.81{col 46}{space 3}0.417{col 54}{space 4}-.4595398{col 67}{space 3} .1904481
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.2794179{col 26}{space 2} .1293942{col 37}{space 1}   -2.16{col 46}{space 3}0.031{col 54}{space 4}-.5330258{col 67}{space 3}  -.02581
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0652071{col 26}{space 2} .1042566{col 37}{space 1}    0.63{col 46}{space 3}0.532{col 54}{space 4}-.1391322{col 67}{space 3} .2695463
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0930782{col 26}{space 2} .1065542{col 37}{space 1}    0.87{col 46}{space 3}0.382{col 54}{space 4}-.1157642{col 67}{space 3} .3019207
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0612948{col 26}{space 2} .1362319{col 37}{space 1}   -0.45{col 46}{space 3}0.653{col 54}{space 4}-.3283045{col 67}{space 3} .2057148
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,947}

{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}lncookingt~e{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-.1727674{col 26}{space 2} .0863455{col 37}{space 1}   -2.00{col 46}{space 3}0.045{col 54}{space 4}-.3420014{col 67}{space 3}-.0035334
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Fig. 2a(6)
. xthdidregress ra (lncookingtime  $controls1 i.wave#i.t1) (SM) if Sample1==1 & GENDER==2 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3634
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      224
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1225
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      682
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:5,765}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,509}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} -.202234{col 26}{space 2} .1196035{col 37}{space 1}   -1.69{col 46}{space 3}0.091{col 54}{space 4}-.4366526{col 67}{space 3} .0321846
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2480569{col 26}{space 2} .2131505{col 37}{space 1}   -1.16{col 46}{space 3}0.245{col 54}{space 4}-.6658241{col 67}{space 3} .1697103
{txt}{space 10}4  {c |}{col 14}{res}{space 2} -.256297{col 26}{space 2} .1488443{col 37}{space 1}   -1.72{col 46}{space 3}0.085{col 54}{space 4}-.5480265{col 67}{space 3} .0354325
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0374688{col 26}{space 2} .0882876{col 37}{space 1}    0.42{col 46}{space 3}0.671{col 54}{space 4}-.1355717{col 67}{space 3} .2105092
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2190099{col 26}{space 2} .1765272{col 37}{space 1}   -1.24{col 46}{space 3}0.215{col 54}{space 4}-.5649967{col 67}{space 3}  .126977
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.4120006{col 26}{space 2} .1455481{col 37}{space 1}   -2.83{col 46}{space 3}0.005{col 54}{space 4}-.6972697{col 67}{space 3}-.1267316
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0398608{col 26}{space 2} .1080879{col 37}{space 1}    0.37{col 46}{space 3}0.712{col 54}{space 4}-.1719877{col 67}{space 3} .2517092
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0718434{col 26}{space 2} .1185298{col 37}{space 1}    0.61{col 46}{space 3}0.544{col 54}{space 4}-.1604707{col 67}{space 3} .3041574
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0391883{col 26}{space 2} .1282879{col 37}{space 1}   -0.31{col 46}{space 3}0.760{col 54}{space 4} -.290628{col 67}{space 3} .2122514
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,765}

{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}lncookingt~e{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-.2403316{col 26}{space 2} .0921188{col 37}{space 1}   -2.61{col 46}{space 3}0.009{col 54}{space 4}-.4208811{col 67}{space 3} -.059782
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Fig. 2a(7)
. xthdidregress ra (lncookingtime  $controls2 i.wave#i.t1) (SM) if Sample1==1 & GENDER==2 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3634
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      224
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1225
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      682
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:5,765}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,509}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.3116223{col 26}{space 2} .1212903{col 37}{space 1}   -2.57{col 46}{space 3}0.010{col 54}{space 4} -.549347{col 67}{space 3}-.0738976
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.3665478{col 26}{space 2} .2267492{col 37}{space 1}   -1.62{col 46}{space 3}0.106{col 54}{space 4}-.8109681{col 67}{space 3} .0778725
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.3333195{col 26}{space 2} .1633627{col 37}{space 1}   -2.04{col 46}{space 3}0.041{col 54}{space 4}-.6535044{col 67}{space 3}-.0131345
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0521844{col 26}{space 2} .0983456{col 37}{space 1}   -0.53{col 46}{space 3}0.596{col 54}{space 4}-.2449381{col 67}{space 3} .1405694
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1677397{col 26}{space 2} .1901041{col 37}{space 1}   -0.88{col 46}{space 3}0.378{col 54}{space 4}-.5403369{col 67}{space 3} .2048576
{txt}{space 10}4  {c |}{col 14}{res}{space 2} -.306798{col 26}{space 2} .1463892{col 37}{space 1}   -2.10{col 46}{space 3}0.036{col 54}{space 4}-.5937156{col 67}{space 3}-.0198804
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0087071{col 26}{space 2} .1131539{col 37}{space 1}   -0.08{col 46}{space 3}0.939{col 54}{space 4}-.2304847{col 67}{space 3} .2130705
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .1059929{col 26}{space 2} .1182255{col 37}{space 1}    0.90{col 46}{space 3}0.370{col 54}{space 4}-.1257249{col 67}{space 3} .3377107
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0348826{col 26}{space 2} .1278211{col 37}{space 1}   -0.27{col 46}{space 3}0.785{col 54}{space 4}-.2854074{col 67}{space 3} .2156421
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,765}

{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}lncookingt~e{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} -.214189{col 26}{space 2} .0967556{col 37}{space 1}   -2.21{col 46}{space 3}0.027{col 54}{space 4}-.4038264{col 67}{space 3}-.0245515
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Fig. 2a(8)
. xthdidregress ra (lncookingtime  $controls3 i.wave#i.t1) (SM) if Sample1==1 & GENDER==2 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3634
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      224
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1225
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      682
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:5,765}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,509}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} -.297751{col 26}{space 2} .1182707{col 37}{space 1}   -2.52{col 46}{space 3}0.012{col 54}{space 4}-.5295573{col 67}{space 3}-.0659448
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.3778731{col 26}{space 2} .2247929{col 37}{space 1}   -1.68{col 46}{space 3}0.093{col 54}{space 4} -.818459{col 67}{space 3} .0627128
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.3443093{col 26}{space 2} .1689531{col 37}{space 1}   -2.04{col 46}{space 3}0.042{col 54}{space 4}-.6754513{col 67}{space 3}-.0131673
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0473164{col 26}{space 2}  .097058{col 37}{space 1}   -0.49{col 46}{space 3}0.626{col 54}{space 4}-.2375466{col 67}{space 3} .1429139
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1742581{col 26}{space 2} .1889757{col 37}{space 1}   -0.92{col 46}{space 3}0.356{col 54}{space 4}-.5446437{col 67}{space 3} .1961275
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.3041394{col 26}{space 2} .1465327{col 37}{space 1}   -2.08{col 46}{space 3}0.038{col 54}{space 4}-.5913382{col 67}{space 3}-.0169407
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0163404{col 26}{space 2}  .113653{col 37}{space 1}   -0.14{col 46}{space 3}0.886{col 54}{space 4}-.2390962{col 67}{space 3} .2064154
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .1329486{col 26}{space 2} .1195072{col 37}{space 1}    1.11{col 46}{space 3}0.266{col 54}{space 4}-.1012812{col 67}{space 3} .3671783
{txt}{space 10}4  {c |}{col 14}{res}{space 2} -.022815{col 26}{space 2} .1270855{col 37}{space 1}   -0.18{col 46}{space 3}0.858{col 54}{space 4}-.2718981{col 67}{space 3}  .226268
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,765}

{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}lncookingt~e{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-.2142396{col 26}{space 2} .0962507{col 37}{space 1}   -2.23{col 46}{space 3}0.026{col 54}{space 4}-.4028876{col 67}{space 3}-.0255916
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Fig. 2b
. xthdidregress ra (lnshoppingtime $controls3 i.wave#i.t1) (SM) if Sample1==1 & GENDER==2 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3465
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      212
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1217
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      682
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:5,576}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,366}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0343932{col 26}{space 2} .1089257{col 37}{space 1}   -0.32{col 46}{space 3}0.752{col 54}{space 4}-.2478837{col 67}{space 3} .1790972
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2416951{col 26}{space 2} .2363532{col 37}{space 1}   -1.02{col 46}{space 3}0.306{col 54}{space 4}-.7049389{col 67}{space 3} .2215486
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.4490302{col 26}{space 2} .2795687{col 37}{space 1}   -1.61{col 46}{space 3}0.108{col 54}{space 4}-.9969748{col 67}{space 3} .0989143
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0017115{col 26}{space 2} .0843649{col 37}{space 1}   -0.02{col 46}{space 3}0.984{col 54}{space 4}-.1670636{col 67}{space 3} .1636407
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.3410712{col 26}{space 2} .1797125{col 37}{space 1}   -1.90{col 46}{space 3}0.058{col 54}{space 4}-.6933011{col 67}{space 3} .0111588
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.3397668{col 26}{space 2} .1695088{col 37}{space 1}   -2.00{col 46}{space 3}0.045{col 54}{space 4} -.671998{col 67}{space 3}-.0075357
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0613092{col 26}{space 2} .1193225{col 37}{space 1}   -0.51{col 46}{space 3}0.607{col 54}{space 4}-.2951769{col 67}{space 3} .1725586
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0338654{col 26}{space 2} .1887472{col 37}{space 1}    0.18{col 46}{space 3}0.858{col 54}{space 4}-.3360723{col 67}{space 3} .4038031
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1143475{col 26}{space 2}    .1405{col 37}{space 1}    0.81{col 46}{space 3}0.416{col 54}{space 4}-.1610274{col 67}{space 3} .3897224
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation, dynamic graph
{res}
{txt}{col 1}Duration of exposure ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,576}

{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    Exposure{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}-2 {c |}{col 14}{res}{space 2}-.0613092{col 26}{space 2} .1193225{col 37}{space 1}   -0.51{col 46}{space 3}0.607{col 54}{space 4}-.2951769{col 67}{space 3} .1725586
{txt}{space 10}-1 {c |}{col 14}{res}{space 2} .0070641{col 26}{space 2} .0801032{col 37}{space 1}    0.09{col 46}{space 3}0.930{col 54}{space 4}-.1499352{col 67}{space 3} .1640635
{txt}{space 11}0 {c |}{col 14}{res}{space 2}-.1827334{col 26}{space 2} .1224278{col 37}{space 1}   -1.49{col 46}{space 3}0.136{col 54}{space 4}-.4226874{col 67}{space 3} .0572206
{txt}{space 11}1 {c |}{col 14}{res}{space 2}-.3212779{col 26}{space 2} .1434445{col 37}{space 1}   -2.24{col 46}{space 3}0.025{col 54}{space 4} -.602424{col 67}{space 3}-.0401318
{txt}{space 11}2 {c |}{col 14}{res}{space 2}-.4490302{col 26}{space 2} .2795687{col 37}{space 1}   -1.61{col 46}{space 3}0.108{col 54}{space 4}-.9969748{col 67}{space 3} .0989143
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: Exposure is the number of periods since the first treatment time.{p_end}
{res}{txt}
{com}. 
. 
. **Fig. 2c
. xthdidregress ra (lncookingtime  $controls3 i.wave#i.t1) (SM) if Sample1==1 & GENDER==2 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3634
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      224
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1225
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      682
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:5,765}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,509}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} -.297751{col 26}{space 2} .1182707{col 37}{space 1}   -2.52{col 46}{space 3}0.012{col 54}{space 4}-.5295573{col 67}{space 3}-.0659448
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.3778731{col 26}{space 2} .2247929{col 37}{space 1}   -1.68{col 46}{space 3}0.093{col 54}{space 4} -.818459{col 67}{space 3} .0627128
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.3443093{col 26}{space 2} .1689531{col 37}{space 1}   -2.04{col 46}{space 3}0.042{col 54}{space 4}-.6754513{col 67}{space 3}-.0131673
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0473164{col 26}{space 2}  .097058{col 37}{space 1}   -0.49{col 46}{space 3}0.626{col 54}{space 4}-.2375466{col 67}{space 3} .1429139
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1742581{col 26}{space 2} .1889757{col 37}{space 1}   -0.92{col 46}{space 3}0.356{col 54}{space 4}-.5446437{col 67}{space 3} .1961275
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.3041394{col 26}{space 2} .1465327{col 37}{space 1}   -2.08{col 46}{space 3}0.038{col 54}{space 4}-.5913382{col 67}{space 3}-.0169407
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0163404{col 26}{space 2}  .113653{col 37}{space 1}   -0.14{col 46}{space 3}0.886{col 54}{space 4}-.2390962{col 67}{space 3} .2064154
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .1329486{col 26}{space 2} .1195072{col 37}{space 1}    1.11{col 46}{space 3}0.266{col 54}{space 4}-.1012812{col 67}{space 3} .3671783
{txt}{space 10}4  {c |}{col 14}{res}{space 2} -.022815{col 26}{space 2} .1270855{col 37}{space 1}   -0.18{col 46}{space 3}0.858{col 54}{space 4}-.2718981{col 67}{space 3}  .226268
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation, dynamic graph
{res}
{txt}{col 1}Duration of exposure ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,765}

{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    Exposure{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}-2 {c |}{col 14}{res}{space 2}-.0163404{col 26}{space 2}  .113653{col 37}{space 1}   -0.14{col 46}{space 3}0.886{col 54}{space 4}-.2390962{col 67}{space 3} .2064154
{txt}{space 10}-1 {c |}{col 14}{res}{space 2}-.0035976{col 26}{space 2} .0797564{col 37}{space 1}   -0.05{col 46}{space 3}0.964{col 54}{space 4}-.1599174{col 67}{space 3} .1527221
{txt}{space 11}0 {c |}{col 14}{res}{space 2}-.1500842{col 26}{space 2} .1239062{col 37}{space 1}   -1.21{col 46}{space 3}0.226{col 54}{space 4}-.3929358{col 67}{space 3} .0927674
{txt}{space 11}1 {c |}{col 14}{res}{space 2}-.3184105{col 26}{space 2} .1269783{col 37}{space 1}   -2.51{col 46}{space 3}0.012{col 54}{space 4}-.5672834{col 67}{space 3}-.0695375
{txt}{space 11}2 {c |}{col 14}{res}{space 2}-.3443093{col 26}{space 2} .1689531{col 37}{space 1}   -2.04{col 46}{space 3}0.042{col 54}{space 4}-.6754513{col 67}{space 3}-.0131673
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: Exposure is the number of periods since the first treatment time.{p_end}
{res}{txt}
{com}. 
{txt}end of do-file

{com}. do "C:\Users\Jayson\AppData\Local\Temp\STD4320_000000.tmp"
{txt}
{com}. 
. 
. 
. ********************************************************************************
. *                                  Figure 3                                    *
. ********************************************************************************
. 
. **Fig. 3a
. xthdidregress ra (Energy             $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     7166
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      350
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     2125
{txt}{space 16}4 {c |}{col 19}{res}{space 3}     1167
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:10,808}
{txt}{col 54}{lalign 16:Number of panels}{col 70} = {res}{ralign 6:5,149}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 80.09725{col 26}{space 2} 107.6305{col 37}{space 1}    0.74{col 46}{space 3}0.457{col 54}{space 4}-130.8546{col 67}{space 3} 291.0491
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-32.00759{col 26}{space 2} 107.6327{col 37}{space 1}   -0.30{col 46}{space 3}0.766{col 54}{space 4}-242.9639{col 67}{space 3} 178.9487
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-89.44616{col 26}{space 2} 102.9191{col 37}{space 1}   -0.87{col 46}{space 3}0.385{col 54}{space 4}-291.1638{col 67}{space 3} 112.2715
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 21.66363{col 26}{space 2} 76.63815{col 37}{space 1}    0.28{col 46}{space 3}0.777{col 54}{space 4}-128.5444{col 67}{space 3} 171.8717
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-205.1985{col 26}{space 2}  94.9042{col 37}{space 1}   -2.16{col 46}{space 3}0.031{col 54}{space 4}-391.2074{col 67}{space 3}-19.18971
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-237.9621{col 26}{space 2} 124.2878{col 37}{space 1}   -1.91{col 46}{space 3}0.056{col 54}{space 4}-481.5616{col 67}{space 3} 5.637435
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 39.82961{col 26}{space 2} 61.08304{col 37}{space 1}    0.65{col 46}{space 3}0.514{col 54}{space 4}-79.89095{col 67}{space 3} 159.5502
{txt}{space 10}3  {c |}{col 14}{res}{space 2}   49.687{col 26}{space 2} 95.57373{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-137.6341{col 67}{space 3} 237.0081
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-226.4654{col 26}{space 2} 75.94487{col 37}{space 1}   -2.98{col 46}{space 3}0.003{col 54}{space 4}-375.3146{col 67}{space 3} -77.6162
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation, dynamic graph
{res}
{txt}{col 1}Duration of exposure ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    Exposure{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}-2 {c |}{col 14}{res}{space 2} 39.82961{col 26}{space 2} 61.08304{col 37}{space 1}    0.65{col 46}{space 3}0.514{col 54}{space 4}-79.89095{col 67}{space 3} 159.5502
{txt}{space 10}-1 {c |}{col 14}{res}{space 2} 28.55073{col 26}{space 2}  62.1845{col 37}{space 1}    0.46{col 46}{space 3}0.646{col 54}{space 4}-93.32865{col 67}{space 3} 150.4301
{txt}{space 11}0 {c |}{col 14}{res}{space 2}-175.4056{col 26}{space 2} 62.53202{col 37}{space 1}   -2.81{col 46}{space 3}0.005{col 54}{space 4}-297.9661{col 67}{space 3} -52.8451
{txt}{space 11}1 {c |}{col 14}{res}{space 2} -199.842{col 26}{space 2} 104.8978{col 37}{space 1}   -1.91{col 46}{space 3}0.057{col 54}{space 4}-405.4378{col 67}{space 3} 5.753858
{txt}{space 11}2 {c |}{col 14}{res}{space 2}-89.44616{col 26}{space 2} 102.9191{col 37}{space 1}   -0.87{col 46}{space 3}0.385{col 54}{space 4}-291.1638{col 67}{space 3} 112.2715
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: Exposure is the number of periods since the first treatment time.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      Energy{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-178.0891{col 26}{space 2} 62.72287{col 37}{space 1}   -2.84{col 46}{space 3}0.005{col 54}{space 4}-301.0237{col 67}{space 3}-55.15457
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Fig. 3b
. xthdidregress ra (Energy_unprocessed $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     7166
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      350
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     2125
{txt}{space 16}4 {c |}{col 19}{res}{space 3}     1167
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:10,808}
{txt}{col 54}{lalign 16:Number of panels}{col 70} = {res}{ralign 6:5,149}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 90.03216{col 26}{space 2} 87.71259{col 37}{space 1}    1.03{col 46}{space 3}0.305{col 54}{space 4}-81.88135{col 67}{space 3} 261.9457
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 94.28516{col 26}{space 2} 117.8872{col 37}{space 1}    0.80{col 46}{space 3}0.424{col 54}{space 4}-136.7695{col 67}{space 3} 325.3398
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-308.6716{col 26}{space 2} 159.2726{col 37}{space 1}   -1.94{col 46}{space 3}0.053{col 54}{space 4}-620.8403{col 67}{space 3} 3.496982
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 54.97343{col 26}{space 2} 67.85268{col 37}{space 1}    0.81{col 46}{space 3}0.418{col 54}{space 4}-78.01538{col 67}{space 3} 187.9622
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-171.9957{col 26}{space 2} 103.9685{col 37}{space 1}   -1.65{col 46}{space 3}0.098{col 54}{space 4}-375.7702{col 67}{space 3} 31.77886
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-400.5507{col 26}{space 2}  157.457{col 37}{space 1}   -2.54{col 46}{space 3}0.011{col 54}{space 4}-709.1608{col 67}{space 3}-91.94057
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 76.24137{col 26}{space 2} 76.22017{col 37}{space 1}    1.00{col 46}{space 3}0.317{col 54}{space 4}-73.14741{col 67}{space 3} 225.6302
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 73.69538{col 26}{space 2} 124.5808{col 37}{space 1}    0.59{col 46}{space 3}0.554{col 54}{space 4}-170.4786{col 67}{space 3} 317.8693
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-306.8449{col 26}{space 2} 98.26747{col 37}{space 1}   -3.12{col 46}{space 3}0.002{col 54}{space 4}-499.4456{col 67}{space 3}-114.2442
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation, dynamic graph
{res}
{txt}{col 1}Duration of exposure ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    Exposure{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}-2 {c |}{col 14}{res}{space 2} 76.24137{col 26}{space 2} 76.22017{col 37}{space 1}    1.00{col 46}{space 3}0.317{col 54}{space 4}-73.14741{col 67}{space 3} 225.6302
{txt}{space 10}-1 {c |}{col 14}{res}{space 2} 59.57458{col 26}{space 2} 59.76063{col 37}{space 1}    1.00{col 46}{space 3}0.319{col 54}{space 4}-57.55411{col 67}{space 3} 176.7033
{txt}{space 11}0 {c |}{col 14}{res}{space 2}-174.3873{col 26}{space 2} 70.34868{col 37}{space 1}   -2.48{col 46}{space 3}0.013{col 54}{space 4}-312.2682{col 67}{space 3}-36.50644
{txt}{space 11}1 {c |}{col 14}{res}{space 2}-308.9615{col 26}{space 2} 133.8234{col 37}{space 1}   -2.31{col 46}{space 3}0.021{col 54}{space 4}-571.2505{col 67}{space 3}-46.67253
{txt}{space 11}2 {c |}{col 14}{res}{space 2}-308.6716{col 26}{space 2} 159.2726{col 37}{space 1}   -1.94{col 46}{space 3}0.053{col 54}{space 4}-620.8403{col 67}{space 3} 3.496982
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: Exposure is the number of periods since the first treatment time.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Energy_unp~d{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-221.8868{col 26}{space 2} 77.93188{col 37}{space 1}   -2.85{col 46}{space 3}0.004{col 54}{space 4}-374.6304{col 67}{space 3}-69.14309
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Fig. 3c
. xthdidregress ra (Energy_moderate    $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     7166
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      350
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     2125
{txt}{space 16}4 {c |}{col 19}{res}{space 3}     1167
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:10,808}
{txt}{col 54}{lalign 16:Number of panels}{col 70} = {res}{ralign 6:5,149}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 7.714302{col 26}{space 2} 63.26445{col 37}{space 1}    0.12{col 46}{space 3}0.903{col 54}{space 4}-116.2817{col 67}{space 3} 131.7103
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-132.9595{col 26}{space 2} 111.6923{col 37}{space 1}   -1.19{col 46}{space 3}0.234{col 54}{space 4}-351.8724{col 67}{space 3} 85.95337
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 285.0735{col 26}{space 2} 96.22442{col 37}{space 1}    2.96{col 46}{space 3}0.003{col 54}{space 4}  96.4771{col 67}{space 3} 473.6699
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} -16.9833{col 26}{space 2} 40.32738{col 37}{space 1}   -0.42{col 46}{space 3}0.674{col 54}{space 4}-96.02351{col 67}{space 3} 62.05691
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 19.22256{col 26}{space 2} 43.83533{col 37}{space 1}    0.44{col 46}{space 3}0.661{col 54}{space 4}-66.69311{col 67}{space 3} 105.1382
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 170.3185{col 26}{space 2}  75.9479{col 37}{space 1}    2.24{col 46}{space 3}0.025{col 54}{space 4}  21.4634{col 67}{space 3} 319.1737
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-39.21083{col 26}{space 2} 37.06285{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-111.8527{col 67}{space 3} 33.43102
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-76.61772{col 26}{space 2} 80.67728{col 37}{space 1}   -0.95{col 46}{space 3}0.342{col 54}{space 4}-234.7423{col 67}{space 3} 81.50684
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 26.85604{col 26}{space 2} 63.15678{col 37}{space 1}    0.43{col 46}{space 3}0.671{col 54}{space 4}-96.92897{col 67}{space 3} 150.6411
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation, dynamic graph
{res}
{txt}{col 1}Duration of exposure ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    Exposure{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}-2 {c |}{col 14}{res}{space 2}-39.21083{col 26}{space 2} 37.06285{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-111.8527{col 67}{space 3} 33.43102
{txt}{space 10}-1 {c |}{col 14}{res}{space 2}-31.63922{col 26}{space 2} 36.99463{col 37}{space 1}   -0.86{col 46}{space 3}0.392{col 54}{space 4}-104.1474{col 67}{space 3} 40.86892
{txt}{space 11}0 {c |}{col 14}{res}{space 2} 19.76906{col 26}{space 2}  32.4212{col 37}{space 1}    0.61{col 46}{space 3}0.542{col 54}{space 4}-43.77533{col 67}{space 3} 83.31345
{txt}{space 11}1 {c |}{col 14}{res}{space 2} 114.1848{col 26}{space 2} 67.12479{col 37}{space 1}    1.70{col 46}{space 3}0.089{col 54}{space 4}-17.37736{col 67}{space 3}  245.747
{txt}{space 11}2 {c |}{col 14}{res}{space 2} 285.0735{col 26}{space 2} 96.22442{col 37}{space 1}    2.96{col 46}{space 3}0.003{col 54}{space 4}  96.4771{col 67}{space 3} 473.6699
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: Exposure is the number of periods since the first treatment time.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Energy_mod~e{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} 62.30678{col 26}{space 2} 35.91389{col 37}{space 1}    1.73{col 46}{space 3}0.083{col 54}{space 4}-8.083151{col 67}{space 3} 132.6967
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Fig. 3d
. xthdidregress ra (Energy_highly      $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     7166
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      350
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     2125
{txt}{space 16}4 {c |}{col 19}{res}{space 3}     1167
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:10,808}
{txt}{col 54}{lalign 16:Number of panels}{col 70} = {res}{ralign 6:5,149}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-13.05243{col 26}{space 2}     22.2{col 37}{space 1}   -0.59{col 46}{space 3}0.557{col 54}{space 4}-56.56363{col 67}{space 3} 30.45877
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-36.62875{col 26}{space 2} 35.83635{col 37}{space 1}   -1.02{col 46}{space 3}0.307{col 54}{space 4}-106.8667{col 67}{space 3}  33.6092
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-68.58657{col 26}{space 2} 28.93857{col 37}{space 1}   -2.37{col 46}{space 3}0.018{col 54}{space 4}-125.3051{col 67}{space 3}-11.86801
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-15.06733{col 26}{space 2} 14.40455{col 37}{space 1}   -1.05{col 46}{space 3}0.296{col 54}{space 4}-43.29973{col 67}{space 3} 13.16506
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-40.40866{col 26}{space 2} 24.85716{col 37}{space 1}   -1.63{col 46}{space 3}0.104{col 54}{space 4} -89.1278{col 67}{space 3} 8.310484
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.6912201{col 26}{space 2} 38.14181{col 37}{space 1}   -0.02{col 46}{space 3}0.986{col 54}{space 4} -75.4478{col 67}{space 3} 74.06536
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 16.83621{col 26}{space 2} 21.36676{col 37}{space 1}    0.79{col 46}{space 3}0.431{col 54}{space 4}-25.04186{col 67}{space 3} 58.71428
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 48.37767{col 26}{space 2} 32.93295{col 37}{space 1}    1.47{col 46}{space 3}0.142{col 54}{space 4}-16.16973{col 67}{space 3} 112.9251
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 53.42992{col 26}{space 2} 35.24006{col 37}{space 1}    1.52{col 46}{space 3}0.129{col 54}{space 4}-15.63932{col 67}{space 3} 122.4992
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation, dynamic graph
{res}
{txt}{col 1}Duration of exposure ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    Exposure{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}-2 {c |}{col 14}{res}{space 2} 16.83621{col 26}{space 2} 21.36676{col 37}{space 1}    0.79{col 46}{space 3}0.431{col 54}{space 4}-25.04186{col 67}{space 3} 58.71428
{txt}{space 10}-1 {c |}{col 14}{res}{space 2} .5250829{col 26}{space 2} 13.98775{col 37}{space 1}    0.04{col 46}{space 3}0.970{col 54}{space 4}-26.89041{col 67}{space 3} 27.94057
{txt}{space 11}0 {c |}{col 14}{res}{space 2}-12.81291{col 26}{space 2}  17.7007{col 37}{space 1}   -0.72{col 46}{space 3}0.469{col 54}{space 4}-47.50564{col 67}{space 3} 21.87981
{txt}{space 11}1 {c |}{col 14}{res}{space 2}-7.342897{col 26}{space 2} 32.45482{col 37}{space 1}   -0.23{col 46}{space 3}0.821{col 54}{space 4}-70.95317{col 67}{space 3} 56.26737
{txt}{space 11}2 {c |}{col 14}{res}{space 2}-68.58657{col 26}{space 2} 28.93857{col 37}{space 1}   -2.37{col 46}{space 3}0.018{col 54}{space 4}-125.3051{col 67}{space 3}-11.86801
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: Exposure is the number of periods since the first treatment time.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Energy_hig~y{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-14.17931{col 26}{space 2} 18.42262{col 37}{space 1}   -0.77{col 46}{space 3}0.441{col 54}{space 4}-50.28699{col 67}{space 3} 21.92836
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Fig.3e
. xthdidregress ra (Protein             $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     7166
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      350
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     2125
{txt}{space 16}4 {c |}{col 19}{res}{space 3}     1167
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:10,808}
{txt}{col 54}{lalign 16:Number of panels}{col 70} = {res}{ralign 6:5,149}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 6.616089{col 26}{space 2}  3.97666{col 37}{space 1}    1.66{col 46}{space 3}0.096{col 54}{space 4}-1.178022{col 67}{space 3}  14.4102
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 3.139326{col 26}{space 2} 4.522541{col 37}{space 1}    0.69{col 46}{space 3}0.488{col 54}{space 4}-5.724692{col 67}{space 3} 12.00334
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 3.990485{col 26}{space 2} 3.921512{col 37}{space 1}    1.02{col 46}{space 3}0.309{col 54}{space 4}-3.695537{col 67}{space 3} 11.67651
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-1.241419{col 26}{space 2} 2.798403{col 37}{space 1}   -0.44{col 46}{space 3}0.657{col 54}{space 4}-6.726189{col 67}{space 3}  4.24335
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-5.283586{col 26}{space 2} 3.843753{col 37}{space 1}   -1.37{col 46}{space 3}0.169{col 54}{space 4} -12.8172{col 67}{space 3} 2.250031
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-4.808162{col 26}{space 2} 4.094049{col 37}{space 1}   -1.17{col 46}{space 3}0.240{col 54}{space 4}-12.83235{col 67}{space 3} 3.216027
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 1.890231{col 26}{space 2} 2.906904{col 37}{space 1}    0.65{col 46}{space 3}0.516{col 54}{space 4}-3.807196{col 67}{space 3} 7.587659
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-1.935458{col 26}{space 2} 3.414099{col 37}{space 1}   -0.57{col 46}{space 3}0.571{col 54}{space 4}-8.626969{col 67}{space 3} 4.756053
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-6.748077{col 26}{space 2} 2.362895{col 37}{space 1}   -2.86{col 46}{space 3}0.004{col 54}{space 4}-11.37927{col 67}{space 3}-2.116887
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation, dynamic graph
{res}
{txt}{col 1}Duration of exposure ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    Exposure{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}-2 {c |}{col 14}{res}{space 2} 1.890231{col 26}{space 2} 2.906904{col 37}{space 1}    0.65{col 46}{space 3}0.516{col 54}{space 4}-3.807196{col 67}{space 3} 7.587659
{txt}{space 10}-1 {c |}{col 14}{res}{space 2}-1.411988{col 26}{space 2} 2.261872{col 37}{space 1}   -0.62{col 46}{space 3}0.532{col 54}{space 4}-5.845176{col 67}{space 3}   3.0212
{txt}{space 11}0 {c |}{col 14}{res}{space 2}-4.189922{col 26}{space 2} 2.492104{col 37}{space 1}   -1.68{col 46}{space 3}0.093{col 54}{space 4}-9.074357{col 67}{space 3} .6945131
{txt}{space 11}1 {c |}{col 14}{res}{space 2}-3.337162{col 26}{space 2} 3.465394{col 37}{space 1}   -0.96{col 46}{space 3}0.336{col 54}{space 4}-10.12921{col 67}{space 3} 3.454886
{txt}{space 11}2 {c |}{col 14}{res}{space 2} 3.990485{col 26}{space 2} 3.921512{col 37}{space 1}    1.02{col 46}{space 3}0.309{col 54}{space 4}-3.695537{col 67}{space 3} 11.67651
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: Exposure is the number of periods since the first treatment time.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     Protein{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-3.494266{col 26}{space 2} 2.322981{col 37}{space 1}   -1.50{col 46}{space 3}0.133{col 54}{space 4}-8.047225{col 67}{space 3} 1.058693
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Fig.3f
. xthdidregress ra (Protein_unprocessed $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     7166
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      350
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     2125
{txt}{space 16}4 {c |}{col 19}{res}{space 3}     1167
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:10,808}
{txt}{col 54}{lalign 16:Number of panels}{col 70} = {res}{ralign 6:5,149}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 4.456486{col 26}{space 2} 2.730515{col 37}{space 1}    1.63{col 46}{space 3}0.103{col 54}{space 4}-.8952256{col 67}{space 3} 9.808197
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 1.939646{col 26}{space 2} 3.950804{col 37}{space 1}    0.49{col 46}{space 3}0.623{col 54}{space 4}-5.803788{col 67}{space 3}  9.68308
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-2.494721{col 26}{space 2} 5.027998{col 37}{space 1}   -0.50{col 46}{space 3}0.620{col 54}{space 4}-12.34942{col 67}{space 3} 7.359975
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .9323288{col 26}{space 2} 2.180065{col 37}{space 1}    0.43{col 46}{space 3}0.669{col 54}{space 4} -3.34052{col 67}{space 3} 5.205178
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-3.951896{col 26}{space 2} 3.111722{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-10.05076{col 67}{space 3} 2.146968
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-6.947139{col 26}{space 2} 4.365605{col 37}{space 1}   -1.59{col 46}{space 3}0.112{col 54}{space 4}-15.50357{col 67}{space 3}  1.60929
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}  2.24532{col 26}{space 2} 2.933728{col 37}{space 1}    0.77{col 46}{space 3}0.444{col 54}{space 4}-3.504681{col 67}{space 3}  7.99532
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-2.558906{col 26}{space 2} 3.786477{col 37}{space 1}   -0.68{col 46}{space 3}0.499{col 54}{space 4}-9.980265{col 67}{space 3} 4.862453
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-7.074932{col 26}{space 2} 2.742561{col 37}{space 1}   -2.58{col 46}{space 3}0.010{col 54}{space 4}-12.45025{col 67}{space 3}-1.699611
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation, dynamic graph
{res}
{txt}{col 1}Duration of exposure ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    Exposure{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}-2 {c |}{col 14}{res}{space 2}  2.24532{col 26}{space 2} 2.933728{col 37}{space 1}    0.77{col 46}{space 3}0.444{col 54}{space 4}-3.504681{col 67}{space 3}  7.99532
{txt}{space 10}-1 {c |}{col 14}{res}{space 2} .0743134{col 26}{space 2} 1.880188{col 37}{space 1}    0.04{col 46}{space 3}0.968{col 54}{space 4}-3.610788{col 67}{space 3} 3.759415
{txt}{space 11}0 {c |}{col 14}{res}{space 2}-3.717921{col 26}{space 2}  2.05793{col 37}{space 1}   -1.81{col 46}{space 3}0.071{col 54}{space 4}-7.751389{col 67}{space 3} .3155466
{txt}{space 11}1 {c |}{col 14}{res}{space 2}-5.302284{col 26}{space 2} 3.715422{col 37}{space 1}   -1.43{col 46}{space 3}0.154{col 54}{space 4}-12.58438{col 67}{space 3} 1.979808
{txt}{space 11}2 {c |}{col 14}{res}{space 2}-2.494721{col 26}{space 2} 5.027998{col 37}{space 1}   -0.50{col 46}{space 3}0.620{col 54}{space 4}-12.34942{col 67}{space 3} 7.359975
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: Exposure is the number of periods since the first treatment time.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Protein_un~d{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-4.126147{col 26}{space 2} 2.157637{col 37}{space 1}   -1.91{col 46}{space 3}0.056{col 54}{space 4}-8.355038{col 67}{space 3}  .102744
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Fig.3g
. xthdidregress ra (Protein_moderate    $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     7166
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      350
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     2125
{txt}{space 16}4 {c |}{col 19}{res}{space 3}     1167
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:10,808}
{txt}{col 54}{lalign 16:Number of panels}{col 70} = {res}{ralign 6:5,149}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 2.255987{col 26}{space 2} 2.131501{col 37}{space 1}    1.06{col 46}{space 3}0.290{col 54}{space 4}-1.921679{col 67}{space 3} 6.433653
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .3190816{col 26}{space 2} 2.372464{col 37}{space 1}    0.13{col 46}{space 3}0.893{col 54}{space 4}-4.330862{col 67}{space 3} 4.969025
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 8.285429{col 26}{space 2} 2.356842{col 37}{space 1}    3.52{col 46}{space 3}0.000{col 54}{space 4} 3.666104{col 67}{space 3} 12.90475
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-2.055501{col 26}{space 2} 1.566978{col 37}{space 1}   -1.31{col 46}{space 3}0.190{col 54}{space 4}-5.126721{col 67}{space 3} 1.015719
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .5238563{col 26}{space 2}  1.87112{col 37}{space 1}    0.28{col 46}{space 3}0.780{col 54}{space 4}-3.143471{col 67}{space 3} 4.191183
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .9928261{col 26}{space 2} 2.080784{col 37}{space 1}    0.48{col 46}{space 3}0.633{col 54}{space 4}-3.085436{col 67}{space 3} 5.071089
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} -.649211{col 26}{space 2} 1.571812{col 37}{space 1}   -0.41{col 46}{space 3}0.680{col 54}{space 4}-3.729905{col 67}{space 3} 2.431483
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0577135{col 26}{space 2} 2.175703{col 37}{space 1}   -0.03{col 46}{space 3}0.979{col 54}{space 4}-4.322014{col 67}{space 3} 4.206587
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.5813597{col 26}{space 2} 1.975528{col 37}{space 1}   -0.29{col 46}{space 3}0.769{col 54}{space 4}-4.453324{col 67}{space 3} 3.290605
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation, dynamic graph
{res}
{txt}{col 1}Duration of exposure ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    Exposure{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}-2 {c |}{col 14}{res}{space 2} -.649211{col 26}{space 2} 1.571812{col 37}{space 1}   -0.41{col 46}{space 3}0.680{col 54}{space 4}-3.729905{col 67}{space 3} 2.431483
{txt}{space 10}-1 {c |}{col 14}{res}{space 2}-1.564519{col 26}{space 2} 1.302297{col 37}{space 1}   -1.20{col 46}{space 3}0.230{col 54}{space 4}-4.116975{col 67}{space 3} .9879363
{txt}{space 11}0 {c |}{col 14}{res}{space 2} .4528809{col 26}{space 2}  1.29896{col 37}{space 1}    0.35{col 46}{space 3}0.727{col 54}{space 4}-2.093034{col 67}{space 3} 2.998795
{txt}{space 11}1 {c |}{col 14}{res}{space 2} .8681227{col 26}{space 2}  1.79036{col 37}{space 1}    0.48{col 46}{space 3}0.628{col 54}{space 4}-2.640919{col 67}{space 3} 4.377164
{txt}{space 11}2 {c |}{col 14}{res}{space 2} 8.285429{col 26}{space 2} 2.356842{col 37}{space 1}    3.52{col 46}{space 3}0.000{col 54}{space 4} 3.666104{col 67}{space 3} 12.90475
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: Exposure is the number of periods since the first treatment time.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Protein_mo~e{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .9988866{col 26}{space 2} 1.093869{col 37}{space 1}    0.91{col 46}{space 3}0.361{col 54}{space 4}-1.145057{col 67}{space 3}  3.14283
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Fig.3h
. xthdidregress ra (Protein_highly      $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     7166
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      350
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     2125
{txt}{space 16}4 {c |}{col 19}{res}{space 3}     1167
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:10,808}
{txt}{col 54}{lalign 16:Number of panels}{col 70} = {res}{ralign 6:5,149}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.1223386{col 26}{space 2} .8196711{col 37}{space 1}   -0.15{col 46}{space 3}0.881{col 54}{space 4}-1.728865{col 67}{space 3} 1.484187
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.7553921{col 26}{space 2} 1.353104{col 37}{space 1}   -0.56{col 46}{space 3}0.577{col 54}{space 4}-3.407427{col 67}{space 3} 1.896642
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-1.917348{col 26}{space 2} 1.368853{col 37}{space 1}   -1.40{col 46}{space 3}0.161{col 54}{space 4} -4.60025{col 67}{space 3} .7655546
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.1865147{col 26}{space 2} .3684193{col 37}{space 1}   -0.51{col 46}{space 3}0.613{col 54}{space 4}-.9086033{col 67}{space 3} .5355739
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-1.418835{col 26}{space 2} .7775796{col 37}{space 1}   -1.82{col 46}{space 3}0.068{col 54}{space 4}-2.942863{col 67}{space 3}  .105193
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 1.357754{col 26}{space 2} .8640202{col 37}{space 1}    1.57{col 46}{space 3}0.116{col 54}{space 4}-.3356944{col 67}{space 3} 3.051202
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .6467069{col 26}{space 2} .7162712{col 37}{space 1}    0.90{col 46}{space 3}0.367{col 54}{space 4}-.7571589{col 67}{space 3} 2.050573
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .3526565{col 26}{space 2} 1.136775{col 37}{space 1}    0.31{col 46}{space 3}0.756{col 54}{space 4}-1.875381{col 67}{space 3} 2.580694
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 1.013072{col 26}{space 2} 1.530578{col 37}{space 1}    0.66{col 46}{space 3}0.508{col 54}{space 4}-1.986805{col 67}{space 3} 4.012948
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation, dynamic graph
{res}
{txt}{col 1}Duration of exposure ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    Exposure{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}-2 {c |}{col 14}{res}{space 2} .6467069{col 26}{space 2} .7162712{col 37}{space 1}    0.90{col 46}{space 3}0.367{col 54}{space 4}-.7571589{col 67}{space 3} 2.050573
{txt}{space 10}-1 {c |}{col 14}{res}{space 2}-.0540065{col 26}{space 2} .3929532{col 37}{space 1}   -0.14{col 46}{space 3}0.891{col 54}{space 4}-.8241807{col 67}{space 3} .7161677
{txt}{space 11}0 {c |}{col 14}{res}{space 2}-.6310118{col 26}{space 2} .6328519{col 37}{space 1}   -1.00{col 46}{space 3}0.319{col 54}{space 4}-1.871379{col 67}{space 3}  .609355
{txt}{space 11}1 {c |}{col 14}{res}{space 2} .9666319{col 26}{space 2} .7664027{col 37}{space 1}    1.26{col 46}{space 3}0.207{col 54}{space 4}-.5354898{col 67}{space 3} 2.468754
{txt}{space 11}2 {c |}{col 14}{res}{space 2}-1.917348{col 26}{space 2} 1.368853{col 37}{space 1}   -1.40{col 46}{space 3}0.161{col 54}{space 4} -4.60025{col 67}{space 3} .7655546
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: Exposure is the number of periods since the first treatment time.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Protein_hi~y{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-.2222119{col 26}{space 2} .5406335{col 37}{space 1}   -0.41{col 46}{space 3}0.681{col 54}{space 4}-1.281834{col 67}{space 3} .8374103
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Fig.3i
. xthdidregress ra (Fat                 $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     7166
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      350
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     2125
{txt}{space 16}4 {c |}{col 19}{res}{space 3}     1167
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:10,808}
{txt}{col 54}{lalign 16:Number of panels}{col 70} = {res}{ralign 6:5,149}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}  1.14061{col 26}{space 2} 6.015243{col 37}{space 1}    0.19{col 46}{space 3}0.850{col 54}{space 4}-10.64905{col 67}{space 3} 12.93027
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-12.65861{col 26}{space 2} 9.381519{col 37}{space 1}   -1.35{col 46}{space 3}0.177{col 54}{space 4}-31.04605{col 67}{space 3} 5.728828
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 8.007081{col 26}{space 2} 5.978723{col 37}{space 1}    1.34{col 46}{space 3}0.180{col 54}{space 4}   -3.711{col 67}{space 3} 19.72516
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-2.255993{col 26}{space 2} 3.673818{col 37}{space 1}   -0.61{col 46}{space 3}0.539{col 54}{space 4}-9.456545{col 67}{space 3} 4.944558
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 1.838107{col 26}{space 2} 3.533678{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-5.087775{col 67}{space 3} 8.763989
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 21.99604{col 26}{space 2} 5.561134{col 37}{space 1}    3.96{col 46}{space 3}0.000{col 54}{space 4} 11.09641{col 67}{space 3} 32.89566
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 1.013833{col 26}{space 2}  3.20638{col 37}{space 1}    0.32{col 46}{space 3}0.752{col 54}{space 4}-5.270556{col 67}{space 3} 7.298223
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-1.833147{col 26}{space 2}  5.34688{col 37}{space 1}   -0.34{col 46}{space 3}0.732{col 54}{space 4}-12.31284{col 67}{space 3} 8.646545
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 1.243864{col 26}{space 2} 4.225627{col 37}{space 1}    0.29{col 46}{space 3}0.768{col 54}{space 4}-7.038214{col 67}{space 3} 9.525941
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation, dynamic graph
{res}
{txt}{col 1}Duration of exposure ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    Exposure{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}-2 {c |}{col 14}{res}{space 2} 1.013833{col 26}{space 2}  3.20638{col 37}{space 1}    0.32{col 46}{space 3}0.752{col 54}{space 4}-5.270556{col 67}{space 3} 7.298223
{txt}{space 10}-1 {c |}{col 14}{res}{space 2}-2.152073{col 26}{space 2} 3.100086{col 37}{space 1}   -0.69{col 46}{space 3}0.488{col 54}{space 4}-8.228131{col 67}{space 3} 3.923984
{txt}{space 11}0 {c |}{col 14}{res}{space 2} 1.598522{col 26}{space 2} 2.588837{col 37}{space 1}    0.62{col 46}{space 3}0.537{col 54}{space 4}-3.475505{col 67}{space 3}  6.67255
{txt}{space 11}1 {c |}{col 14}{res}{space 2} 15.58181{col 26}{space 2} 5.196951{col 37}{space 1}    3.00{col 46}{space 3}0.003{col 54}{space 4} 5.395972{col 67}{space 3} 25.76765
{txt}{space 11}2 {c |}{col 14}{res}{space 2} 8.007081{col 26}{space 2} 5.978723{col 37}{space 1}    1.34{col 46}{space 3}0.180{col 54}{space 4}   -3.711{col 67}{space 3} 19.72516
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: Exposure is the number of periods since the first treatment time.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}         Fat{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} 6.127828{col 26}{space 2}  2.68813{col 37}{space 1}    2.28{col 46}{space 3}0.023{col 54}{space 4} .8591896{col 67}{space 3} 11.39647
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Fig.3j
. xthdidregress ra (Fat_unprocessed     $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     7166
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      350
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     2125
{txt}{space 16}4 {c |}{col 19}{res}{space 3}     1167
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:10,808}
{txt}{col 54}{lalign 16:Number of panels}{col 70} = {res}{ralign 6:5,149}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 5.041246{col 26}{space 2} 3.803763{col 37}{space 1}    1.33{col 46}{space 3}0.185{col 54}{space 4}-2.413993{col 67}{space 3} 12.49648
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-3.057083{col 26}{space 2}  5.58024{col 37}{space 1}   -0.55{col 46}{space 3}0.584{col 54}{space 4}-13.99415{col 67}{space 3} 7.879987
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-6.104617{col 26}{space 2} 6.527115{col 37}{space 1}   -0.94{col 46}{space 3}0.350{col 54}{space 4}-18.89753{col 67}{space 3} 6.688293
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.9102786{col 26}{space 2} 2.617895{col 37}{space 1}   -0.35{col 46}{space 3}0.728{col 54}{space 4}-6.041259{col 67}{space 3} 4.220702
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -4.74744{col 26}{space 2} 4.501687{col 37}{space 1}   -1.05{col 46}{space 3}0.292{col 54}{space 4}-13.57058{col 67}{space 3} 4.075704
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-11.09549{col 26}{space 2}  4.56515{col 37}{space 1}   -2.43{col 46}{space 3}0.015{col 54}{space 4}-20.04302{col 67}{space 3}-2.147957
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .8969006{col 26}{space 2} 2.956439{col 37}{space 1}    0.30{col 46}{space 3}0.762{col 54}{space 4}-4.897613{col 67}{space 3} 6.691414
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-5.779805{col 26}{space 2} 4.243227{col 37}{space 1}   -1.36{col 46}{space 3}0.173{col 54}{space 4}-14.09638{col 67}{space 3} 2.536768
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-7.026293{col 26}{space 2} 2.570027{col 37}{space 1}   -2.73{col 46}{space 3}0.006{col 54}{space 4}-12.06345{col 67}{space 3}-1.989134
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation, dynamic graph
{res}
{txt}{col 1}Duration of exposure ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    Exposure{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}-2 {c |}{col 14}{res}{space 2} .8969006{col 26}{space 2} 2.956439{col 37}{space 1}    0.30{col 46}{space 3}0.762{col 54}{space 4}-4.897613{col 67}{space 3} 6.691414
{txt}{space 10}-1 {c |}{col 14}{res}{space 2}-2.107027{col 26}{space 2} 2.237775{col 37}{space 1}   -0.94{col 46}{space 3}0.346{col 54}{space 4}-6.492984{col 67}{space 3} 2.278931
{txt}{space 11}0 {c |}{col 14}{res}{space 2}-4.124952{col 26}{space 2} 2.846322{col 37}{space 1}   -1.45{col 46}{space 3}0.147{col 54}{space 4}-9.703641{col 67}{space 3} 1.453736
{txt}{space 11}1 {c |}{col 14}{res}{space 2}-9.607659{col 26}{space 2} 3.939569{col 37}{space 1}   -2.44{col 46}{space 3}0.015{col 54}{space 4}-17.32907{col 67}{space 3}-1.886245
{txt}{space 11}2 {c |}{col 14}{res}{space 2}-6.104617{col 26}{space 2} 6.527115{col 37}{space 1}   -0.94{col 46}{space 3}0.350{col 54}{space 4}-18.89753{col 67}{space 3} 6.688293
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: Exposure is the number of periods since the first treatment time.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Fat_unproc~d{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-5.872144{col 26}{space 2} 2.593457{col 37}{space 1}   -2.26{col 46}{space 3}0.024{col 54}{space 4}-10.95523{col 67}{space 3}-.7890625
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Fig.3k
. xthdidregress ra (Fat_moderate        $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     7166
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      350
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     2125
{txt}{space 16}4 {c |}{col 19}{res}{space 3}     1167
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:10,808}
{txt}{col 54}{lalign 16:Number of panels}{col 70} = {res}{ralign 6:5,149}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 4.239833{col 26}{space 2} 3.013221{col 37}{space 1}    1.41{col 46}{space 3}0.159{col 54}{space 4}-1.665972{col 67}{space 3} 10.14564
{txt}{space 10}3  {c |}{col 14}{res}{space 2}  6.60881{col 26}{space 2} 3.354008{col 37}{space 1}    1.97{col 46}{space 3}0.049{col 54}{space 4} .0350746{col 67}{space 3} 13.18254
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 11.87896{col 26}{space 2} 3.519666{col 37}{space 1}    3.38{col 46}{space 3}0.001{col 54}{space 4} 4.980545{col 67}{space 3} 18.77738
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 1.343925{col 26}{space 2} 1.856458{col 37}{space 1}    0.72{col 46}{space 3}0.469{col 54}{space 4}-2.294666{col 67}{space 3} 4.982517
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0102097{col 26}{space 2}  3.68132{col 37}{space 1}    0.00{col 46}{space 3}0.998{col 54}{space 4}-7.205045{col 67}{space 3} 7.225464
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 3.441965{col 26}{space 2} 2.088518{col 37}{space 1}    1.65{col 46}{space 3}0.099{col 54}{space 4}-.6514548{col 67}{space 3} 7.535386
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.2947916{col 26}{space 2} 1.635886{col 37}{space 1}   -0.18{col 46}{space 3}0.857{col 54}{space 4}-3.501069{col 67}{space 3} 2.911486
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .8780447{col 26}{space 2} 2.308018{col 37}{space 1}    0.38{col 46}{space 3}0.704{col 54}{space 4}-3.645587{col 67}{space 3} 5.401677
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-1.540777{col 26}{space 2} 1.856344{col 37}{space 1}   -0.83{col 46}{space 3}0.407{col 54}{space 4}-5.179144{col 67}{space 3}  2.09759
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation, dynamic graph
{res}
{txt}{col 1}Duration of exposure ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    Exposure{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}-2 {c |}{col 14}{res}{space 2}-.2947916{col 26}{space 2} 1.635886{col 37}{space 1}   -0.18{col 46}{space 3}0.857{col 54}{space 4}-3.501069{col 67}{space 3} 2.911486
{txt}{space 10}-1 {c |}{col 14}{res}{space 2} 1.229429{col 26}{space 2}  1.49505{col 37}{space 1}    0.82{col 46}{space 3}0.411{col 54}{space 4}-1.700816{col 67}{space 3} 4.159674
{txt}{space 11}0 {c |}{col 14}{res}{space 2} .1330595{col 26}{space 2} 2.326757{col 37}{space 1}    0.06{col 46}{space 3}0.954{col 54}{space 4}-4.427301{col 67}{space 3}  4.69342
{txt}{space 11}1 {c |}{col 14}{res}{space 2} 4.028117{col 26}{space 2} 1.858979{col 37}{space 1}    2.17{col 46}{space 3}0.030{col 54}{space 4}  .384584{col 67}{space 3} 7.671649
{txt}{space 11}2 {c |}{col 14}{res}{space 2} 11.87896{col 26}{space 2} 3.519666{col 37}{space 1}    3.38{col 46}{space 3}0.001{col 54}{space 4} 4.980545{col 67}{space 3} 18.77738
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: Exposure is the number of periods since the first treatment time.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Fat_moderate{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} 1.931052{col 26}{space 2} 1.635254{col 37}{space 1}    1.18{col 46}{space 3}0.238{col 54}{space 4}-1.273986{col 67}{space 3}  5.13609
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Fig.3l
. xthdidregress ra (Fat_highly          $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     7166
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      350
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     2125
{txt}{space 16}4 {c |}{col 19}{res}{space 3}     1167
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:10,808}
{txt}{col 54}{lalign 16:Number of panels}{col 70} = {res}{ralign 6:5,149}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-1.934265{col 26}{space 2} 1.372871{col 37}{space 1}   -1.41{col 46}{space 3}0.159{col 54}{space 4}-4.625044{col 67}{space 3} .7565133
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -.402105{col 26}{space 2} 2.054724{col 37}{space 1}   -0.20{col 46}{space 3}0.845{col 54}{space 4} -4.42929{col 67}{space 3}  3.62508
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-1.796694{col 26}{space 2} 1.526163{col 37}{space 1}   -1.18{col 46}{space 3}0.239{col 54}{space 4}-4.787918{col 67}{space 3} 1.194529
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} -1.64518{col 26}{space 2} .8742458{col 37}{space 1}   -1.88{col 46}{space 3}0.060{col 54}{space 4} -3.35867{col 67}{space 3} .0683103
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2622502{col 26}{space 2} 1.203049{col 37}{space 1}   -0.22{col 46}{space 3}0.827{col 54}{space 4}-2.620182{col 67}{space 3} 2.095682
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 4.344356{col 26}{space 2} 1.802188{col 37}{space 1}    2.41{col 46}{space 3}0.016{col 54}{space 4} .8121324{col 67}{space 3} 7.876579
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 1.604226{col 26}{space 2} 1.128093{col 37}{space 1}    1.42{col 46}{space 3}0.155{col 54}{space 4}-.6067965{col 67}{space 3} 3.815248
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 2.482203{col 26}{space 2} 1.983546{col 37}{space 1}    1.25{col 46}{space 3}0.211{col 54}{space 4}-1.405475{col 67}{space 3} 6.369882
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 2.147923{col 26}{space 2} 1.660043{col 37}{space 1}    1.29{col 46}{space 3}0.196{col 54}{space 4}-1.105701{col 67}{space 3} 5.401547
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation, dynamic graph
{res}
{txt}{col 1}Duration of exposure ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    Exposure{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}-2 {c |}{col 14}{res}{space 2} 1.604226{col 26}{space 2} 1.128093{col 37}{space 1}    1.42{col 46}{space 3}0.155{col 54}{space 4}-.6067965{col 67}{space 3} 3.815248
{txt}{space 10}-1 {c |}{col 14}{res}{space 2}-.6308231{col 26}{space 2} .8467839{col 37}{space 1}   -0.74{col 46}{space 3}0.456{col 54}{space 4}-2.290489{col 67}{space 3} 1.028843
{txt}{space 11}0 {c |}{col 14}{res}{space 2} .1528722{col 26}{space 2} .8657913{col 37}{space 1}    0.18{col 46}{space 3}0.860{col 54}{space 4}-1.544048{col 67}{space 3} 1.849792
{txt}{space 11}1 {c |}{col 14}{res}{space 2} 3.465833{col 26}{space 2} 1.540113{col 37}{space 1}    2.25{col 46}{space 3}0.024{col 54}{space 4} .4472677{col 67}{space 3} 6.484399
{txt}{space 11}2 {c |}{col 14}{res}{space 2}-1.796694{col 26}{space 2} 1.526163{col 37}{space 1}   -1.18{col 46}{space 3}0.239{col 54}{space 4}-4.787918{col 67}{space 3} 1.194529
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: Exposure is the number of periods since the first treatment time.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  Fat_highly{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} 1.039235{col 26}{space 2} .8616992{col 37}{space 1}    1.21{col 46}{space 3}0.228{col 54}{space 4} -.649664{col 67}{space 3} 2.728135
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Fig.3m
. xthdidregress ra (Carbohydrate        $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     7166
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      350
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     2125
{txt}{space 16}4 {c |}{col 19}{res}{space 3}     1167
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:10,808}
{txt}{col 54}{lalign 16:Number of panels}{col 70} = {res}{ralign 6:5,149}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 9.848246{col 26}{space 2} 17.80326{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-25.04551{col 67}{space 3}   44.742
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 16.96426{col 26}{space 2} 21.40552{col 37}{space 1}    0.79{col 46}{space 3}0.428{col 54}{space 4}-24.98978{col 67}{space 3}  58.9183
{txt}{space 10}4  {c |}{col 14}{res}{space 2} -41.8467{col 26}{space 2} 26.58878{col 37}{space 1}   -1.57{col 46}{space 3}0.116{col 54}{space 4}-93.95976{col 67}{space 3} 10.26636
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 10.44943{col 26}{space 2} 13.96354{col 37}{space 1}    0.75{col 46}{space 3}0.454{col 54}{space 4} -16.9186{col 67}{space 3} 37.81746
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-43.47292{col 26}{space 2} 19.96527{col 37}{space 1}   -2.18{col 46}{space 3}0.029{col 54}{space 4}-82.60413{col 67}{space 3}-4.341707
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-84.12857{col 26}{space 2} 26.06651{col 37}{space 1}   -3.23{col 46}{space 3}0.001{col 54}{space 4} -135.218{col 67}{space 3}-33.03914
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 4.945219{col 26}{space 2} 11.84688{col 37}{space 1}    0.42{col 46}{space 3}0.676{col 54}{space 4}-18.27423{col 67}{space 3} 28.16467
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 16.27102{col 26}{space 2} 18.98742{col 37}{space 1}    0.86{col 46}{space 3}0.391{col 54}{space 4}-20.94365{col 67}{space 3} 53.48569
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-47.90481{col 26}{space 2} 12.54998{col 37}{space 1}   -3.82{col 46}{space 3}0.000{col 54}{space 4}-72.50233{col 67}{space 3}-23.30729
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation, dynamic graph
{res}
{txt}{col 1}Duration of exposure ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    Exposure{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}-2 {c |}{col 14}{res}{space 2} 4.945219{col 26}{space 2} 11.84688{col 37}{space 1}    0.42{col 46}{space 3}0.676{col 54}{space 4}-18.27423{col 67}{space 3} 28.16467
{txt}{space 10}-1 {c |}{col 14}{res}{space 2} 11.88016{col 26}{space 2} 11.49789{col 37}{space 1}    1.03{col 46}{space 3}0.301{col 54}{space 4}-10.65529{col 67}{space 3}  34.4156
{txt}{space 11}0 {c |}{col 14}{res}{space 2}-38.02264{col 26}{space 2} 12.88326{col 37}{space 1}   -2.95{col 46}{space 3}0.003{col 54}{space 4}-63.27337{col 67}{space 3}-12.77192
{txt}{space 11}1 {c |}{col 14}{res}{space 2} -65.4173{col 26}{space 2} 22.26519{col 37}{space 1}   -2.94{col 46}{space 3}0.003{col 54}{space 4}-109.0563{col 67}{space 3}-21.77834
{txt}{space 11}2 {c |}{col 14}{res}{space 2} -41.8467{col 26}{space 2} 26.58878{col 37}{space 1}   -1.57{col 46}{space 3}0.116{col 54}{space 4}-93.95976{col 67}{space 3} 10.26636
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: Exposure is the number of periods since the first treatment time.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Carbohydrate{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-46.42588{col 26}{space 2} 13.71787{col 37}{space 1}   -3.38{col 46}{space 3}0.001{col 54}{space 4}-73.31241{col 67}{space 3}-19.53935
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Fig.3n
. xthdidregress ra (Carbohydrate_unprocessed $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     7166
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      350
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     2125
{txt}{space 16}4 {c |}{col 19}{res}{space 3}     1167
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:10,808}
{txt}{col 54}{lalign 16:Number of panels}{col 70} = {res}{ralign 6:5,149}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}  10.3032{col 26}{space 2} 19.11659{col 37}{space 1}    0.54{col 46}{space 3}0.590{col 54}{space 4}-27.16462{col 67}{space 3} 47.77102
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 27.14564{col 26}{space 2} 23.55497{col 37}{space 1}    1.15{col 46}{space 3}0.249{col 54}{space 4}-19.02126{col 67}{space 3} 73.31253
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-57.27633{col 26}{space 2} 34.38832{col 37}{space 1}   -1.67{col 46}{space 3}0.096{col 54}{space 4}-124.6762{col 67}{space 3} 10.12354
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 10.65954{col 26}{space 2} 12.81682{col 37}{space 1}    0.83{col 46}{space 3}0.406{col 54}{space 4}-14.46096{col 67}{space 3} 35.78004
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-38.73531{col 26}{space 2} 21.27713{col 37}{space 1}   -1.82{col 46}{space 3}0.069{col 54}{space 4}-80.43772{col 67}{space 3} 2.967105
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-96.94797{col 26}{space 2} 31.92812{col 37}{space 1}   -3.04{col 46}{space 3}0.002{col 54}{space 4}-159.5259{col 67}{space 3}   -34.37
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 8.869465{col 26}{space 2} 12.61433{col 37}{space 1}    0.70{col 46}{space 3}0.482{col 54}{space 4}-15.85416{col 67}{space 3} 33.59309
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 24.71673{col 26}{space 2} 23.37296{col 37}{space 1}    1.06{col 46}{space 3}0.290{col 54}{space 4}-21.09343{col 67}{space 3}  70.5269
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-64.22841{col 26}{space 2} 19.71575{col 37}{space 1}   -3.26{col 46}{space 3}0.001{col 54}{space 4}-102.8706{col 67}{space 3}-25.58626
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation, dynamic graph
{res}
{txt}{col 1}Duration of exposure ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    Exposure{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}-2 {c |}{col 14}{res}{space 2} 8.869465{col 26}{space 2} 12.61433{col 37}{space 1}    0.70{col 46}{space 3}0.482{col 54}{space 4}-15.85416{col 67}{space 3} 33.59309
{txt}{space 10}-1 {c |}{col 14}{res}{space 2} 14.11428{col 26}{space 2} 11.26908{col 37}{space 1}    1.25{col 46}{space 3}0.210{col 54}{space 4}-7.972715{col 67}{space 3} 36.20126
{txt}{space 11}0 {c |}{col 14}{res}{space 2}-39.24898{col 26}{space 2} 14.30252{col 37}{space 1}   -2.74{col 46}{space 3}0.006{col 54}{space 4}-67.28139{col 67}{space 3}-11.21657
{txt}{space 11}1 {c |}{col 14}{res}{space 2}-73.97949{col 26}{space 2} 27.51059{col 37}{space 1}   -2.69{col 46}{space 3}0.007{col 54}{space 4}-127.8993{col 67}{space 3}-20.05972
{txt}{space 11}2 {c |}{col 14}{res}{space 2}-57.27633{col 26}{space 2} 34.38832{col 37}{space 1}   -1.67{col 46}{space 3}0.096{col 54}{space 4}-124.6762{col 67}{space 3} 10.12354
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: Exposure is the number of periods since the first treatment time.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Carbohydra~d{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-50.61212{col 26}{space 2} 16.29174{col 37}{space 1}   -3.11{col 46}{space 3}0.002{col 54}{space 4}-82.54335{col 67}{space 3}-18.68089
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Fig.3o
. xthdidregress ra (Carbohydrate_moderate    $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     7166
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      350
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     2125
{txt}{space 16}4 {c |}{col 19}{res}{space 3}     1167
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:10,808}
{txt}{col 54}{lalign 16:Number of panels}{col 70} = {res}{ralign 6:5,149}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 1.547983{col 26}{space 2} 7.952348{col 37}{space 1}    0.19{col 46}{space 3}0.846{col 54}{space 4}-14.03833{col 67}{space 3}  17.1343
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-5.795293{col 26}{space 2} 14.10679{col 37}{space 1}   -0.41{col 46}{space 3}0.681{col 54}{space 4}-33.44409{col 67}{space 3}  21.8535
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 20.93034{col 26}{space 2} 16.33429{col 37}{space 1}    1.28{col 46}{space 3}0.200{col 54}{space 4}-11.08428{col 67}{space 3} 52.94495
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .6870498{col 26}{space 2} 6.340125{col 37}{space 1}    0.11{col 46}{space 3}0.914{col 54}{space 4}-11.73937{col 67}{space 3} 13.11347
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-2.502099{col 26}{space 2} 8.941213{col 37}{space 1}   -0.28{col 46}{space 3}0.780{col 54}{space 4}-20.02655{col 67}{space 3} 15.02236
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 7.236904{col 26}{space 2}  10.2974{col 37}{space 1}    0.70{col 46}{space 3}0.482{col 54}{space 4}-12.94564{col 67}{space 3} 27.41944
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-3.795434{col 26}{space 2} 5.051882{col 37}{space 1}   -0.75{col 46}{space 3}0.452{col 54}{space 4}-13.69694{col 67}{space 3} 6.106073
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-13.41408{col 26}{space 2} 8.379173{col 37}{space 1}   -1.60{col 46}{space 3}0.109{col 54}{space 4}-29.83696{col 67}{space 3} 3.008799
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 7.040498{col 26}{space 2}  11.0883{col 37}{space 1}    0.63{col 46}{space 3}0.525{col 54}{space 4}-14.69216{col 67}{space 3} 28.77316
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation, dynamic graph
{res}
{txt}{col 1}Duration of exposure ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    Exposure{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}-2 {c |}{col 14}{res}{space 2}-3.795434{col 26}{space 2} 5.051882{col 37}{space 1}   -0.75{col 46}{space 3}0.452{col 54}{space 4}-13.69694{col 67}{space 3} 6.106073
{txt}{space 10}-1 {c |}{col 14}{res}{space 2}-2.778482{col 26}{space 2} 5.294044{col 37}{space 1}   -0.52{col 46}{space 3}0.600{col 54}{space 4}-13.15462{col 67}{space 3} 7.597653
{txt}{space 11}0 {c |}{col 14}{res}{space 2} .4609829{col 26}{space 2} 6.346643{col 37}{space 1}    0.07{col 46}{space 3}0.942{col 54}{space 4}-11.97821{col 67}{space 3} 12.90017
{txt}{space 11}1 {c |}{col 14}{res}{space 2} 4.824775{col 26}{space 2} 8.948761{col 37}{space 1}    0.54{col 46}{space 3}0.590{col 54}{space 4}-12.71447{col 67}{space 3} 22.36402
{txt}{space 11}2 {c |}{col 14}{res}{space 2} 20.93034{col 26}{space 2} 16.33429{col 37}{space 1}    1.28{col 46}{space 3}0.200{col 54}{space 4}-11.08428{col 67}{space 3} 52.94495
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: Exposure is the number of periods since the first treatment time.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Carboh~erate{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}  2.86896{col 26}{space 2} 6.143712{col 37}{space 1}    0.47{col 46}{space 3}0.641{col 54}{space 4}-9.172495{col 67}{space 3} 14.91041
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Fig.3p
. xthdidregress ra (Carbohydrate_highly      $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     7166
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      350
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     2125
{txt}{space 16}4 {c |}{col 19}{res}{space 3}     1167
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:10,808}
{txt}{col 54}{lalign 16:Number of panels}{col 70} = {res}{ralign 6:5,149}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-2.039689{col 26}{space 2} 1.595205{col 37}{space 1}   -1.28{col 46}{space 3}0.201{col 54}{space 4}-5.166234{col 67}{space 3} 1.086856
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-4.409145{col 26}{space 2} 3.229156{col 37}{space 1}   -1.37{col 46}{space 3}0.172{col 54}{space 4}-10.73817{col 67}{space 3} 1.919884
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-5.516546{col 26}{space 2} 3.307432{col 37}{space 1}   -1.67{col 46}{space 3}0.095{col 54}{space 4}-11.99899{col 67}{space 3} .9659014
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.9214048{col 26}{space 2} .9371783{col 37}{space 1}   -0.98{col 46}{space 3}0.326{col 54}{space 4}-2.758241{col 67}{space 3}  .915431
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-2.199596{col 26}{space 2} 1.700359{col 37}{space 1}   -1.29{col 46}{space 3}0.196{col 54}{space 4}-5.532238{col 67}{space 3} 1.133046
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 5.589152{col 26}{space 2} 2.800173{col 37}{space 1}    2.00{col 46}{space 3}0.046{col 54}{space 4} .1009134{col 67}{space 3} 11.07739
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.1516933{col 26}{space 2} 1.364578{col 37}{space 1}   -0.11{col 46}{space 3}0.911{col 54}{space 4}-2.826217{col 67}{space 3} 2.522831
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 4.971063{col 26}{space 2} 3.253688{col 37}{space 1}    1.53{col 46}{space 3}0.127{col 54}{space 4}-1.406049{col 67}{space 3} 11.34817
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 9.279858{col 26}{space 2} 3.777093{col 37}{space 1}    2.46{col 46}{space 3}0.014{col 54}{space 4} 1.876892{col 67}{space 3} 16.68282
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation, dynamic graph
{res}
{txt}{col 1}Duration of exposure ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    Exposure{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}-2 {c |}{col 14}{res}{space 2}-.1516933{col 26}{space 2} 1.364578{col 37}{space 1}   -0.11{col 46}{space 3}0.911{col 54}{space 4}-2.826217{col 67}{space 3} 2.522831
{txt}{space 10}-1 {c |}{col 14}{res}{space 2}  .526744{col 26}{space 2} 1.095818{col 37}{space 1}    0.48{col 46}{space 3}0.631{col 54}{space 4} -1.62102{col 67}{space 3} 2.674508
{txt}{space 11}0 {c |}{col 14}{res}{space 2}  .782178{col 26}{space 2} 1.478099{col 37}{space 1}    0.53{col 46}{space 3}0.597{col 54}{space 4}-2.114843{col 67}{space 3} 3.679199
{txt}{space 11}1 {c |}{col 14}{res}{space 2} 3.738568{col 26}{space 2} 2.378442{col 37}{space 1}    1.57{col 46}{space 3}0.116{col 54}{space 4}-.9230924{col 67}{space 3} 8.400228
{txt}{space 11}2 {c |}{col 14}{res}{space 2}-5.516546{col 26}{space 2} 3.307432{col 37}{space 1}   -1.67{col 46}{space 3}0.095{col 54}{space 4}-11.99899{col 67}{space 3} .9659014
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: Exposure is the number of periods since the first treatment time.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Carbohydra~y{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} 1.327659{col 26}{space 2} 1.361748{col 37}{space 1}    0.97{col 46}{space 3}0.330{col 54}{space 4}-1.341318{col 67}{space 3} 3.996635
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. 
{txt}end of do-file

{com}. do "C:\Users\Jayson\AppData\Local\Temp\STD4320_000000.tmp"
{txt}
{com}. 
. 
. 
. ********************************************************************************
. *                                  Figure 4                                    *
. ********************************************************************************
. 
. **Fig. 4a
. *Full sample
. xthdidregress ra (DietaryDiversity $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     7166
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      350
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     2125
{txt}{space 16}4 {c |}{col 19}{res}{space 3}     1167
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:10,808}
{txt}{col 54}{lalign 16:Number of panels}{col 70} = {res}{ralign 6:5,149}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}   .22168{col 26}{space 2} .0750058{col 37}{space 1}    2.96{col 46}{space 3}0.003{col 54}{space 4} .0746713{col 67}{space 3} .3686888
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0579284{col 26}{space 2} .1475602{col 37}{space 1}   -0.39{col 46}{space 3}0.695{col 54}{space 4}-.3471411{col 67}{space 3} .2312843
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1609964{col 26}{space 2} .1151344{col 37}{space 1}    1.40{col 46}{space 3}0.162{col 54}{space 4}-.0646628{col 67}{space 3} .3866556
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.1141235{col 26}{space 2} .0662935{col 37}{space 1}   -1.72{col 46}{space 3}0.085{col 54}{space 4}-.2440564{col 67}{space 3} .0158094
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0367784{col 26}{space 2} .1015372{col 37}{space 1}   -0.36{col 46}{space 3}0.717{col 54}{space 4}-.2357875{col 67}{space 3} .1622308
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .3343723{col 26}{space 2} .1366766{col 37}{space 1}    2.45{col 46}{space 3}0.014{col 54}{space 4} .0664911{col 67}{space 3} .6022534
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0067851{col 26}{space 2} .0852733{col 37}{space 1}    0.08{col 46}{space 3}0.937{col 54}{space 4}-.1603474{col 67}{space 3} .1739176
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1511642{col 26}{space 2} .1259558{col 37}{space 1}   -1.20{col 46}{space 3}0.230{col 54}{space 4} -.398033{col 67}{space 3} .0957047
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.3028212{col 26}{space 2} .1289194{col 37}{space 1}   -2.35{col 46}{space 3}0.019{col 54}{space 4}-.5554987{col 67}{space 3}-.0501438
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}DietaryDiv~y{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .0394713{col 26}{space 2} .0698524{col 37}{space 1}    0.57{col 46}{space 3}0.572{col 54}{space 4} -.097437{col 67}{space 3} .1763796
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. *Women
. xthdidregress ra (DietaryDiversity $controls3 i.wave#i.t1) (SM) if Sample2==1 & GENDER==2 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3921
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      226
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1260
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      700
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:6,107}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,764}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:170} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .2202273{col 26}{space 2}  .109838{col 37}{space 1}    2.01{col 46}{space 3}0.045{col 54}{space 4} .0049488{col 67}{space 3} .4355057
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0532985{col 26}{space 2} .1741605{col 37}{space 1}   -0.31{col 46}{space 3}0.760{col 54}{space 4}-.3946469{col 67}{space 3} .2880499
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1966669{col 26}{space 2}  .146198{col 37}{space 1}    1.35{col 46}{space 3}0.179{col 54}{space 4}-.0898759{col 67}{space 3} .4832096
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0389826{col 26}{space 2} .0920348{col 37}{space 1}   -0.42{col 46}{space 3}0.672{col 54}{space 4}-.2193674{col 67}{space 3} .1414022
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1124966{col 26}{space 2} .1339517{col 37}{space 1}   -0.84{col 46}{space 3}0.401{col 54}{space 4}-.3750371{col 67}{space 3}  .150044
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .4052667{col 26}{space 2} .1868499{col 37}{space 1}    2.17{col 46}{space 3}0.030{col 54}{space 4} .0390475{col 67}{space 3} .7714858
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0478213{col 26}{space 2}   .11637{col 37}{space 1}    0.41{col 46}{space 3}0.681{col 54}{space 4}-.1802596{col 67}{space 3} .2759023
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2123688{col 26}{space 2} .1469257{col 37}{space 1}   -1.45{col 46}{space 3}0.148{col 54}{space 4} -.500338{col 67}{space 3} .0756004
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.2175481{col 26}{space 2} .1810233{col 37}{space 1}   -1.20{col 46}{space 3}0.229{col 54}{space 4}-.5723473{col 67}{space 3} .1372511
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:6,107}

{txt}{ralign 78:(Std. err. adjusted for {res:170} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}DietaryDiv~y{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .0479331{col 26}{space 2} .0941711{col 37}{space 1}    0.51{col 46}{space 3}0.611{col 54}{space 4} -.136639{col 67}{space 3} .2325051
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. *Men
. xthdidregress ra (DietaryDiversity $controls3 i.wave#i.t1) (SM) if Sample2==1 & GENDER==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3245
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      124
{txt}{space 16}3 {c |}{col 19}{res}{space 3}      865
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      467
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:4,701}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,385}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .2412809{col 26}{space 2} .1056343{col 37}{space 1}    2.28{col 46}{space 3}0.022{col 54}{space 4} .0342414{col 67}{space 3} .4483204
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0984703{col 26}{space 2} .2704761{col 37}{space 1}   -0.36{col 46}{space 3}0.716{col 54}{space 4}-.6285938{col 67}{space 3} .4316532
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1383113{col 26}{space 2} .1676097{col 37}{space 1}    0.83{col 46}{space 3}0.409{col 54}{space 4}-.1901976{col 67}{space 3} .4668203
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.2188351{col 26}{space 2} .0992664{col 37}{space 1}   -2.20{col 46}{space 3}0.027{col 54}{space 4}-.4133937{col 67}{space 3}-.0242765
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .1142316{col 26}{space 2} .1443317{col 37}{space 1}    0.79{col 46}{space 3}0.429{col 54}{space 4}-.1686534{col 67}{space 3} .3971166
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1962404{col 26}{space 2} .1882243{col 37}{space 1}    1.04{col 46}{space 3}0.297{col 54}{space 4}-.1726724{col 67}{space 3} .5651532
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0323875{col 26}{space 2} .1215407{col 37}{space 1}   -0.27{col 46}{space 3}0.790{col 54}{space 4} -.270603{col 67}{space 3}  .205828
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0043586{col 26}{space 2} .2367012{col 37}{space 1}   -0.02{col 46}{space 3}0.985{col 54}{space 4}-.4682844{col 67}{space 3} .4595671
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.4586464{col 26}{space 2} .1682691{col 37}{space 1}   -2.73{col 46}{space 3}0.006{col 54}{space 4}-.7884478{col 67}{space 3} -.128845
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:4,701}

{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}DietaryDiv~y{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .0372642{col 26}{space 2} .1018865{col 37}{space 1}    0.37{col 46}{space 3}0.715{col 54}{space 4}-.1624296{col 67}{space 3} .2369581
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. *Low income
. xthdidregress ra (DietaryDiversity $controls3 i.wave#i.t1) (SM) if Sample2==1 & HHhighincome==0 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3977
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      182
{txt}{space 16}3 {c |}{col 19}{res}{space 3}      789
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      457
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:5,405}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,866}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:328} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .3570339{col 26}{space 2} .1075585{col 37}{space 1}    3.32{col 46}{space 3}0.001{col 54}{space 4} .1462231{col 67}{space 3} .5678447
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2432439{col 26}{space 2}  .256476{col 37}{space 1}   -0.95{col 46}{space 3}0.343{col 54}{space 4}-.7459278{col 67}{space 3} .2594399
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0988359{col 26}{space 2} .2166539{col 37}{space 1}    0.46{col 46}{space 3}0.648{col 54}{space 4} -.325798{col 67}{space 3} .5234698
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0475832{col 26}{space 2} .1143262{col 37}{space 1}    0.42{col 46}{space 3}0.677{col 54}{space 4}-.1764921{col 67}{space 3} .2716585
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0719385{col 26}{space 2} .1620586{col 37}{space 1}   -0.44{col 46}{space 3}0.657{col 54}{space 4}-.3895674{col 67}{space 3} .2456904
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .3203447{col 26}{space 2} .2127809{col 37}{space 1}    1.51{col 46}{space 3}0.132{col 54}{space 4}-.0966983{col 67}{space 3} .7373876
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .1184933{col 26}{space 2} .1233482{col 37}{space 1}    0.96{col 46}{space 3}0.337{col 54}{space 4}-.1232647{col 67}{space 3} .3602512
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.4178905{col 26}{space 2} .1818626{col 37}{space 1}   -2.30{col 46}{space 3}0.022{col 54}{space 4}-.7743346{col 67}{space 3}-.0614464
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.3232465{col 26}{space 2} .1727929{col 37}{space 1}   -1.87{col 46}{space 3}0.061{col 54}{space 4}-.6619144{col 67}{space 3} .0154214
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,405}

{txt}{ralign 78:(Std. err. adjusted for {res:328} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}DietaryDiv~y{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .0127384{col 26}{space 2} .0979762{col 37}{space 1}    0.13{col 46}{space 3}0.897{col 54}{space 4}-.1792914{col 67}{space 3} .2047682
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. *High income
. xthdidregress ra (DietaryDiversity $controls3 i.wave#i.t1) (SM) if Sample2==1 & HHhighincome==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3189
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      168
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1336
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      710
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:5,403}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,283}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:319} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .1255661{col 26}{space 2} .1286086{col 37}{space 1}    0.98{col 46}{space 3}0.329{col 54}{space 4}-.1265022{col 67}{space 3} .3776344
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0729662{col 26}{space 2} .1949849{col 37}{space 1}    0.37{col 46}{space 3}0.708{col 54}{space 4}-.3091972{col 67}{space 3} .4551297
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1884263{col 26}{space 2} .1787857{col 37}{space 1}    1.05{col 46}{space 3}0.292{col 54}{space 4}-.1619873{col 67}{space 3} .5388399
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.1546865{col 26}{space 2} .0959673{col 37}{space 1}   -1.61{col 46}{space 3}0.107{col 54}{space 4}-.3427789{col 67}{space 3} .0334058
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0282422{col 26}{space 2} .1221218{col 37}{space 1}    0.23{col 46}{space 3}0.817{col 54}{space 4}-.2111121{col 67}{space 3} .2675965
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .4093583{col 26}{space 2} .1979978{col 37}{space 1}    2.07{col 46}{space 3}0.039{col 54}{space 4} .0212896{col 67}{space 3} .7974269
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0466394{col 26}{space 2} .0929183{col 37}{space 1}   -0.50{col 46}{space 3}0.616{col 54}{space 4} -.228756{col 67}{space 3} .1354772
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0196714{col 26}{space 2} .1847952{col 37}{space 1}   -0.11{col 46}{space 3}0.915{col 54}{space 4}-.3818632{col 67}{space 3} .3425205
{txt}{space 10}4  {c |}{col 14}{res}{space 2} -.274006{col 26}{space 2} .1473788{col 37}{space 1}   -1.86{col 46}{space 3}0.063{col 54}{space 4}-.5628631{col 67}{space 3}  .014851
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,403}

{txt}{ralign 78:(Std. err. adjusted for {res:319} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}DietaryDiv~y{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .0935968{col 26}{space 2} .0981519{col 37}{space 1}    0.95{col 46}{space 3}0.340{col 54}{space 4}-.0987774{col 67}{space 3} .2859711
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. *Low DDS
. xthdidregress ra (DietaryDiversity $controls3 i.wave#i.t1) (SM) if Sample2==1 & HighDDS==0 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     4300
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      224
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1226
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      690
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:6,440}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,995}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:315} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .2562582{col 26}{space 2} .1025732{col 37}{space 1}    2.50{col 46}{space 3}0.012{col 54}{space 4} .0552183{col 67}{space 3}  .457298
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0470265{col 26}{space 2} .2012133{col 37}{space 1}    0.23{col 46}{space 3}0.815{col 54}{space 4}-.3473444{col 67}{space 3} .4413974
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  .272179{col 26}{space 2} .1467094{col 37}{space 1}    1.86{col 46}{space 3}0.064{col 54}{space 4} -.015366{col 67}{space 3} .5597241
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0572133{col 26}{space 2} .0782217{col 37}{space 1}   -0.73{col 46}{space 3}0.465{col 54}{space 4} -.210525{col 67}{space 3} .0960984
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .1215524{col 26}{space 2} .1213618{col 37}{space 1}    1.00{col 46}{space 3}0.317{col 54}{space 4}-.1163124{col 67}{space 3} .3594172
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .5191288{col 26}{space 2} .1827009{col 37}{space 1}    2.84{col 46}{space 3}0.004{col 54}{space 4} .1610416{col 67}{space 3} .8772161
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0340214{col 26}{space 2} .0984549{col 37}{space 1}    0.35{col 46}{space 3}0.730{col 54}{space 4}-.1589467{col 67}{space 3} .2269895
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1680952{col 26}{space 2} .1440712{col 37}{space 1}   -1.17{col 46}{space 3}0.243{col 54}{space 4}-.4504695{col 67}{space 3} .1142791
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1269832{col 26}{space 2}  .151453{col 37}{space 1}   -0.84{col 46}{space 3}0.402{col 54}{space 4}-.4238257{col 67}{space 3} .1698593
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:6,440}

{txt}{ralign 78:(Std. err. adjusted for {res:315} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}DietaryDiv~y{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .1902438{col 26}{space 2} .0804515{col 37}{space 1}    2.36{col 46}{space 3}0.018{col 54}{space 4} .0325618{col 67}{space 3} .3479257
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. *High DDS
. xthdidregress ra (DietaryDiversity $controls3 i.wave#i.t1) (SM) if Sample2==1 & HighDDS==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     2866
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      126
{txt}{space 16}3 {c |}{col 19}{res}{space 3}      899
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      477
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:4,368}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,154}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:326} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0803401{col 26}{space 2} .1245554{col 37}{space 1}    0.65{col 46}{space 3}0.519{col 54}{space 4} -.163784{col 67}{space 3} .3244642
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2356269{col 26}{space 2} .2516775{col 37}{space 1}   -0.94{col 46}{space 3}0.349{col 54}{space 4}-.7289058{col 67}{space 3}  .257652
{txt}{space 10}4  {c |}{col 14}{res}{space 2} -.040162{col 26}{space 2} .2890709{col 37}{space 1}   -0.14{col 46}{space 3}0.890{col 54}{space 4}-.6067306{col 67}{space 3} .5264066
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.1222608{col 26}{space 2}   .11778{col 37}{space 1}   -1.04{col 46}{space 3}0.299{col 54}{space 4}-.3531053{col 67}{space 3} .1085837
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1879133{col 26}{space 2} .1799871{col 37}{space 1}   -1.04{col 46}{space 3}0.296{col 54}{space 4}-.5406816{col 67}{space 3}  .164855
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1810634{col 26}{space 2} .2187899{col 37}{space 1}    0.83{col 46}{space 3}0.408{col 54}{space 4} -.247757{col 67}{space 3} .6098839
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0336154{col 26}{space 2} .1842791{col 37}{space 1}   -0.18{col 46}{space 3}0.855{col 54}{space 4}-.3947958{col 67}{space 3}  .327565
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2020154{col 26}{space 2} .1905455{col 37}{space 1}   -1.06{col 46}{space 3}0.289{col 54}{space 4}-.5754777{col 67}{space 3}  .171447
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.3561626{col 26}{space 2} .1800256{col 37}{space 1}   -1.98{col 46}{space 3}0.048{col 54}{space 4}-.7090063{col 67}{space 3}-.0033189
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:4,368}

{txt}{ralign 78:(Std. err. adjusted for {res:326} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}DietaryDiv~y{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-.0983889{col 26}{space 2} .1146606{col 37}{space 1}   -0.86{col 46}{space 3}0.391{col 54}{space 4}-.3231195{col 67}{space 3} .1263418
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Fig. 4b
. *Full sample
. xthdidregress ra (DietaryBalance $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     7166
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      350
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     2125
{txt}{space 16}4 {c |}{col 19}{res}{space 3}     1167
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:10,808}
{txt}{col 54}{lalign 16:Number of panels}{col 70} = {res}{ralign 6:5,149}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}  .208712{col 26}{space 2} .1733926{col 37}{space 1}    1.20{col 46}{space 3}0.229{col 54}{space 4}-.1311311{col 67}{space 3} .5485552
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1025737{col 26}{space 2} .2032794{col 37}{space 1}   -0.50{col 46}{space 3}0.614{col 54}{space 4} -.500994{col 67}{space 3} .2958467
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .2925241{col 26}{space 2} .1760886{col 37}{space 1}    1.66{col 46}{space 3}0.097{col 54}{space 4}-.0526033{col 67}{space 3} .6376515
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0408633{col 26}{space 2}  .088306{col 37}{space 1}   -0.46{col 46}{space 3}0.644{col 54}{space 4}-.2139399{col 67}{space 3} .1322132
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1628805{col 26}{space 2} .1081408{col 37}{space 1}   -1.51{col 46}{space 3}0.132{col 54}{space 4}-.3748326{col 67}{space 3} .0490716
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .4900413{col 26}{space 2} .1431472{col 37}{space 1}    3.42{col 46}{space 3}0.001{col 54}{space 4}  .209478{col 67}{space 3} .7706046
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .2316409{col 26}{space 2} .0942434{col 37}{space 1}    2.46{col 46}{space 3}0.014{col 54}{space 4} .0469273{col 67}{space 3} .4163545
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0548397{col 26}{space 2} .1492947{col 37}{space 1}   -0.37{col 46}{space 3}0.713{col 54}{space 4}-.3474518{col 67}{space 3} .2377725
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.4375566{col 26}{space 2} .1361181{col 37}{space 1}   -3.21{col 46}{space 3}0.001{col 54}{space 4}-.7043433{col 67}{space 3}  -.17077
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}DietaryBal~e{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .0080715{col 26}{space 2} .0739577{col 37}{space 1}    0.11{col 46}{space 3}0.913{col 54}{space 4} -.136883{col 67}{space 3} .1530259
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. *Women
. xthdidregress ra (DietaryBalance $controls3 i.wave#i.t1) (SM) if Sample2==1 & GENDER==2 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3921
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      226
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1260
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      700
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:6,107}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,764}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:170} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .2225739{col 26}{space 2} .2552024{col 37}{space 1}    0.87{col 46}{space 3}0.383{col 54}{space 4}-.2776135{col 67}{space 3} .7227614
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0315675{col 26}{space 2} .2303949{col 37}{space 1}    0.14{col 46}{space 3}0.891{col 54}{space 4}-.4199981{col 67}{space 3} .4831332
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .2621973{col 26}{space 2} .2014602{col 37}{space 1}    1.30{col 46}{space 3}0.193{col 54}{space 4}-.1326574{col 67}{space 3} .6570521
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0680034{col 26}{space 2} .1173276{col 37}{space 1}   -0.58{col 46}{space 3}0.562{col 54}{space 4}-.2979613{col 67}{space 3} .1619545
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1432678{col 26}{space 2} .1395525{col 37}{space 1}   -1.03{col 46}{space 3}0.305{col 54}{space 4}-.4167857{col 67}{space 3} .1302502
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .5020628{col 26}{space 2} .1670059{col 37}{space 1}    3.01{col 46}{space 3}0.003{col 54}{space 4} .1747372{col 67}{space 3} .8293884
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .1709578{col 26}{space 2} .1085814{col 37}{space 1}    1.57{col 46}{space 3}0.115{col 54}{space 4}-.0418578{col 67}{space 3} .3837734
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1242268{col 26}{space 2} .2234883{col 37}{space 1}   -0.56{col 46}{space 3}0.578{col 54}{space 4}-.5622558{col 67}{space 3} .3138022
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.3788217{col 26}{space 2} .1603752{col 37}{space 1}   -2.36{col 46}{space 3}0.018{col 54}{space 4}-.6931514{col 67}{space 3} -.064492
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:6,107}

{txt}{ralign 78:(Std. err. adjusted for {res:170} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}DietaryBal~e{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .0425995{col 26}{space 2} .0931227{col 37}{space 1}    0.46{col 46}{space 3}0.647{col 54}{space 4}-.1399177{col 67}{space 3} .2251167
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. *Men
. xthdidregress ra (DietaryBalance $controls3 i.wave#i.t1) (SM) if Sample2==1 & GENDER==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3245
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      124
{txt}{space 16}3 {c |}{col 19}{res}{space 3}      865
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      467
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:4,701}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,385}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .1408464{col 26}{space 2} .2095232{col 37}{space 1}    0.67{col 46}{space 3}0.501{col 54}{space 4}-.2698114{col 67}{space 3} .5515043
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.4165579{col 26}{space 2} .3113642{col 37}{space 1}   -1.34{col 46}{space 3}0.181{col 54}{space 4}-1.026821{col 67}{space 3} .1937048
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .2805293{col 26}{space 2} .3051522{col 37}{space 1}    0.92{col 46}{space 3}0.358{col 54}{space 4}-.3175581{col 67}{space 3} .8786166
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0046959{col 26}{space 2}  .119655{col 37}{space 1}   -0.04{col 46}{space 3}0.969{col 54}{space 4}-.2392154{col 67}{space 3} .2298235
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2164625{col 26}{space 2} .1668393{col 37}{space 1}   -1.30{col 46}{space 3}0.194{col 54}{space 4}-.5434614{col 67}{space 3} .1105365
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .4329509{col 26}{space 2} .2333381{col 37}{space 1}    1.86{col 46}{space 3}0.064{col 54}{space 4}-.0243833{col 67}{space 3} .8902851
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}  .361817{col 26}{space 2} .1874913{col 37}{space 1}    1.93{col 46}{space 3}0.054{col 54}{space 4}-.0056591{col 67}{space 3} .7292931
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0727153{col 26}{space 2} .1995975{col 37}{space 1}    0.36{col 46}{space 3}0.716{col 54}{space 4}-.3184887{col 67}{space 3} .4639192
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.5599666{col 26}{space 2} .2098992{col 37}{space 1}   -2.67{col 46}{space 3}0.008{col 54}{space 4}-.9713616{col 67}{space 3}-.1485717
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:4,701}

{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}DietaryBal~e{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-.0818585{col 26}{space 2} .1133658{col 37}{space 1}   -0.72{col 46}{space 3}0.470{col 54}{space 4}-.3040514{col 67}{space 3} .1403344
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. *Low income
. xthdidregress ra (DietaryBalance $controls3 i.wave#i.t1) (SM) if Sample2==1 & HHhighincome==0 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3977
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      182
{txt}{space 16}3 {c |}{col 19}{res}{space 3}      789
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      457
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:5,405}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,866}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:328} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .1502102{col 26}{space 2} .1988043{col 37}{space 1}    0.76{col 46}{space 3}0.450{col 54}{space 4}-.2394391{col 67}{space 3} .5398596
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -.466521{col 26}{space 2} .2202946{col 37}{space 1}   -2.12{col 46}{space 3}0.034{col 54}{space 4}-.8982904{col 67}{space 3}-.0347516
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .2138132{col 26}{space 2}  .246515{col 37}{space 1}    0.87{col 46}{space 3}0.386{col 54}{space 4}-.2693473{col 67}{space 3} .6969737
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0329649{col 26}{space 2} .1289786{col 37}{space 1}   -0.26{col 46}{space 3}0.798{col 54}{space 4}-.2857584{col 67}{space 3} .2198285
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0707085{col 26}{space 2} .1823767{col 37}{space 1}    0.39{col 46}{space 3}0.698{col 54}{space 4}-.2867433{col 67}{space 3} .4281603
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .7096455{col 26}{space 2} .2334001{col 37}{space 1}    3.04{col 46}{space 3}0.002{col 54}{space 4} .2521896{col 67}{space 3} 1.167101
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .3732848{col 26}{space 2} .1569392{col 37}{space 1}    2.38{col 46}{space 3}0.017{col 54}{space 4} .0656896{col 67}{space 3} .6808799
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2805257{col 26}{space 2} .2206828{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4} -.713056{col 67}{space 3} .1520047
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.5493225{col 26}{space 2} .1848439{col 37}{space 1}   -2.97{col 46}{space 3}0.003{col 54}{space 4}  -.91161{col 67}{space 3} -.187035
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,405}

{txt}{ralign 78:(Std. err. adjusted for {res:328} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}DietaryBal~e{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .0814268{col 26}{space 2} .1132401{col 37}{space 1}    0.72{col 46}{space 3}0.472{col 54}{space 4}-.1405197{col 67}{space 3} .3033732
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. *High income
. xthdidregress ra (DietaryBalance $controls3 i.wave#i.t1) (SM) if Sample2==1 & HHhighincome==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3189
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      168
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1336
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      710
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:5,403}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,283}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:319} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}  .244542{col 26}{space 2} .2199251{col 37}{space 1}    1.11{col 46}{space 3}0.266{col 54}{space 4}-.1865033{col 67}{space 3} .6755873
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .2166547{col 26}{space 2} .3032516{col 37}{space 1}    0.71{col 46}{space 3}0.475{col 54}{space 4}-.3777075{col 67}{space 3} .8110169
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .5277415{col 26}{space 2} .2686484{col 37}{space 1}    1.96{col 46}{space 3}0.049{col 54}{space 4} .0012003{col 67}{space 3} 1.054283
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0707795{col 26}{space 2} .1239165{col 37}{space 1}   -0.57{col 46}{space 3}0.568{col 54}{space 4}-.3136514{col 67}{space 3} .1720925
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.3704522{col 26}{space 2} .1644657{col 37}{space 1}   -2.25{col 46}{space 3}0.024{col 54}{space 4}-.6927991{col 67}{space 3}-.0481053
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .3960335{col 26}{space 2}  .177957{col 37}{space 1}    2.23{col 46}{space 3}0.026{col 54}{space 4} .0472441{col 67}{space 3} .7448228
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .1315711{col 26}{space 2}  .130107{col 37}{space 1}    1.01{col 46}{space 3}0.312{col 54}{space 4}-.1234339{col 67}{space 3} .3865762
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0223152{col 26}{space 2} .1738236{col 37}{space 1}   -0.13{col 46}{space 3}0.898{col 54}{space 4}-.3630033{col 67}{space 3} .3183729
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.4075804{col 26}{space 2} .1737364{col 37}{space 1}   -2.35{col 46}{space 3}0.019{col 54}{space 4}-.7480974{col 67}{space 3}-.0670634
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,403}

{txt}{ralign 78:(Std. err. adjusted for {res:319} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}DietaryBal~e{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} -.068672{col 26}{space 2} .1060155{col 37}{space 1}   -0.65{col 46}{space 3}0.517{col 54}{space 4}-.2764585{col 67}{space 3} .1391145
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. *Low CFPS
. xthdidregress ra (DietaryBalance $controls3 i.wave#i.t1) (SM) if Sample2==1 & HighCFPS==0 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     4126
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      196
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1097
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      604
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:6,023}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,833}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:331} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .3875446{col 26}{space 2} .2382739{col 37}{space 1}    1.63{col 46}{space 3}0.104{col 54}{space 4}-.0794636{col 67}{space 3} .8545529
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0675213{col 26}{space 2} .2037734{col 37}{space 1}    0.33{col 46}{space 3}0.740{col 54}{space 4}-.3318673{col 67}{space 3} .4669099
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .4379762{col 26}{space 2}  .199229{col 37}{space 1}    2.20{col 46}{space 3}0.028{col 54}{space 4} .0474945{col 67}{space 3} .8284578
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0345191{col 26}{space 2}   .08874{col 37}{space 1}   -0.39{col 46}{space 3}0.697{col 54}{space 4}-.2084464{col 67}{space 3} .1394082
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1096641{col 26}{space 2} .1294616{col 37}{space 1}   -0.85{col 46}{space 3}0.397{col 54}{space 4}-.3634042{col 67}{space 3}  .144076
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .5270093{col 26}{space 2} .1812605{col 37}{space 1}    2.91{col 46}{space 3}0.004{col 54}{space 4} .1717452{col 67}{space 3} .8822734
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .2151552{col 26}{space 2} .1461182{col 37}{space 1}    1.47{col 46}{space 3}0.141{col 54}{space 4}-.0712311{col 67}{space 3} .5015415
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1111628{col 26}{space 2} .1956621{col 37}{space 1}   -0.57{col 46}{space 3}0.570{col 54}{space 4}-.4946535{col 67}{space 3} .2723279
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.5306043{col 26}{space 2} .1375124{col 37}{space 1}   -3.86{col 46}{space 3}0.000{col 54}{space 4}-.8001237{col 67}{space 3} -.261085
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:6,023}

{txt}{ralign 78:(Std. err. adjusted for {res:331} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}DietaryBal~e{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .0660295{col 26}{space 2}  .092499{col 37}{space 1}    0.71{col 46}{space 3}0.475{col 54}{space 4}-.1152652{col 67}{space 3} .2473242
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. *High CFPS
. xthdidregress ra (DietaryBalance $controls3 i.wave#i.t1) (SM) if Sample2==1 & HighCFPS==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3040
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      154
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1028
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      563
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:4,785}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,316}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:331} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0375791{col 26}{space 2} .2353974{col 37}{space 1}   -0.16{col 46}{space 3}0.873{col 54}{space 4}-.4989495{col 67}{space 3} .4237913
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.3978601{col 26}{space 2}  .329366{col 37}{space 1}   -1.21{col 46}{space 3}0.227{col 54}{space 4}-1.043406{col 67}{space 3} .2476853
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .2569526{col 26}{space 2} .3674875{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.4633096{col 67}{space 3} .9772149
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0917681{col 26}{space 2} .1717537{col 37}{space 1}   -0.53{col 46}{space 3}0.593{col 54}{space 4}-.4283992{col 67}{space 3} .2448629
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2448473{col 26}{space 2} .1656716{col 37}{space 1}   -1.48{col 46}{space 3}0.139{col 54}{space 4}-.5695576{col 67}{space 3}  .079863
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .7405086{col 26}{space 2} .2140736{col 37}{space 1}    3.46{col 46}{space 3}0.001{col 54}{space 4}  .320932{col 67}{space 3} 1.160085
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .2736465{col 26}{space 2} .1433316{col 37}{space 1}    1.91{col 46}{space 3}0.056{col 54}{space 4}-.0072784{col 67}{space 3} .5545713
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0241502{col 26}{space 2} .2064272{col 37}{space 1}   -0.12{col 46}{space 3}0.907{col 54}{space 4}  -.42874{col 67}{space 3} .3804397
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.3332404{col 26}{space 2} .2107082{col 37}{space 1}   -1.58{col 46}{space 3}0.114{col 54}{space 4} -.746221{col 67}{space 3} .0797401
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:4,785}

{txt}{ralign 78:(Std. err. adjusted for {res:331} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}DietaryBal~e{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .0122998{col 26}{space 2}  .109941{col 37}{space 1}    0.11{col 46}{space 3}0.911{col 54}{space 4}-.2031806{col 67}{space 3} .2277801
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. 
. **Fig. 4c
. *Full sample
. xthdidregress ra (DietaryNutrientDensity $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     7166
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      350
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     2125
{txt}{space 16}4 {c |}{col 19}{res}{space 3}     1167
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:10,808}
{txt}{col 54}{lalign 16:Number of panels}{col 70} = {res}{ralign 6:5,149}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 1.168952{col 26}{space 2} 1.248629{col 37}{space 1}    0.94{col 46}{space 3}0.349{col 54}{space 4}-1.278317{col 67}{space 3}  3.61622
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 1.178555{col 26}{space 2} 3.443041{col 37}{space 1}    0.34{col 46}{space 3}0.732{col 54}{space 4}-5.569682{col 67}{space 3} 7.926792
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 7.495684{col 26}{space 2} 3.898414{col 37}{space 1}    1.92{col 46}{space 3}0.055{col 54}{space 4}-.1450667{col 67}{space 3} 15.13644
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.9556841{col 26}{space 2} 1.041727{col 37}{space 1}   -0.92{col 46}{space 3}0.359{col 54}{space 4}-2.997432{col 67}{space 3} 1.086064
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 2.719118{col 26}{space 2}  1.22109{col 37}{space 1}    2.23{col 46}{space 3}0.026{col 54}{space 4} .3258265{col 67}{space 3} 5.112409
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 3.452152{col 26}{space 2} 2.242514{col 37}{space 1}    1.54{col 46}{space 3}0.124{col 54}{space 4}-.9430947{col 67}{space 3} 7.847398
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .2084872{col 26}{space 2} 1.181442{col 37}{space 1}    0.18{col 46}{space 3}0.860{col 54}{space 4}-2.107096{col 67}{space 3} 2.524071
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-3.076044{col 26}{space 2} 1.394554{col 37}{space 1}   -2.21{col 46}{space 3}0.027{col 54}{space 4} -5.80932{col 67}{space 3}-.3427678
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1951581{col 26}{space 2}  1.39761{col 37}{space 1}   -0.14{col 46}{space 3}0.889{col 54}{space 4}-2.934424{col 67}{space 3} 2.544108
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}DietaryNut~y{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} 2.459268{col 26}{space 2} 1.076591{col 37}{space 1}    2.28{col 46}{space 3}0.022{col 54}{space 4} .3491894{col 67}{space 3} 4.569348
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. *Women
. xthdidregress ra (DietaryNutrientDensity $controls3 i.wave#i.t1) (SM) if Sample2==1 & GENDER==2 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3921
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      226
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1260
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      700
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:6,107}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,764}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:170} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0473525{col 26}{space 2} 1.410628{col 37}{space 1}   -0.03{col 46}{space 3}0.973{col 54}{space 4}-2.812132{col 67}{space 3} 2.717427
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .1893076{col 26}{space 2} 3.438975{col 37}{space 1}    0.06{col 46}{space 3}0.956{col 54}{space 4}-6.550959{col 67}{space 3} 6.929574
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 6.373098{col 26}{space 2} 4.953227{col 37}{space 1}    1.29{col 46}{space 3}0.198{col 54}{space 4}-3.335049{col 67}{space 3} 16.08125
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-1.621611{col 26}{space 2} 1.506481{col 37}{space 1}   -1.08{col 46}{space 3}0.282{col 54}{space 4} -4.57426{col 67}{space 3} 1.331037
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 3.317014{col 26}{space 2} 1.668114{col 37}{space 1}    1.99{col 46}{space 3}0.047{col 54}{space 4} .0475703{col 67}{space 3} 6.586457
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  4.10603{col 26}{space 2} 2.867502{col 37}{space 1}    1.43{col 46}{space 3}0.152{col 54}{space 4}-1.514171{col 67}{space 3}  9.72623
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .5192486{col 26}{space 2} 1.663367{col 37}{space 1}    0.31{col 46}{space 3}0.755{col 54}{space 4} -2.74089{col 67}{space 3} 3.779388
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-4.378773{col 26}{space 2} 1.641079{col 37}{space 1}   -2.67{col 46}{space 3}0.008{col 54}{space 4}-7.595229{col 67}{space 3}-1.162317
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .3366608{col 26}{space 2}   1.7501{col 37}{space 1}    0.19{col 46}{space 3}0.847{col 54}{space 4}-3.093472{col 67}{space 3} 3.766793
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:6,107}

{txt}{ralign 78:(Std. err. adjusted for {res:170} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}DietaryNut~y{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}  2.74829{col 26}{space 2}  1.40148{col 37}{space 1}    1.96{col 46}{space 3}0.050{col 54}{space 4} .0014391{col 67}{space 3}  5.49514
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. *Men
. xthdidregress ra (DietaryNutrientDensity $controls3 i.wave#i.t1) (SM) if Sample2==1 & GENDER==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3245
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      124
{txt}{space 16}3 {c |}{col 19}{res}{space 3}      865
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      467
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:4,701}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,385}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 2.733847{col 26}{space 2} 2.195814{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4} -1.56987{col 67}{space 3} 7.037563
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 3.486826{col 26}{space 2} 6.836155{col 37}{space 1}    0.51{col 46}{space 3}0.610{col 54}{space 4}-9.911792{col 67}{space 3} 16.88544
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 10.15935{col 26}{space 2}  6.07207{col 37}{space 1}    1.67{col 46}{space 3}0.094{col 54}{space 4}-1.741692{col 67}{space 3} 22.06038
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.3641761{col 26}{space 2} 1.165776{col 37}{space 1}   -0.31{col 46}{space 3}0.755{col 54}{space 4}-2.649055{col 67}{space 3} 1.920703
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 1.886283{col 26}{space 2} 1.768644{col 37}{space 1}    1.07{col 46}{space 3}0.286{col 54}{space 4}-1.580195{col 67}{space 3} 5.352761
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 1.452581{col 26}{space 2}  3.04668{col 37}{space 1}    0.48{col 46}{space 3}0.634{col 54}{space 4}-4.518802{col 67}{space 3} 7.423964
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.4861716{col 26}{space 2} 1.506623{col 37}{space 1}   -0.32{col 46}{space 3}0.747{col 54}{space 4}-3.439099{col 67}{space 3} 2.466756
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.3380206{col 26}{space 2} 2.404636{col 37}{space 1}   -0.14{col 46}{space 3}0.888{col 54}{space 4}-5.051021{col 67}{space 3}  4.37498
{txt}{space 10}4  {c |}{col 14}{res}{space 2} -1.00404{col 26}{space 2} 2.258404{col 37}{space 1}   -0.44{col 46}{space 3}0.657{col 54}{space 4}-5.430431{col 67}{space 3} 3.422352
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:4,701}

{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}DietaryNut~y{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} 1.819191{col 26}{space 2} 1.570751{col 37}{space 1}    1.16{col 46}{space 3}0.247{col 54}{space 4}-1.259424{col 67}{space 3} 4.897807
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. *Low income
. xthdidregress ra (DietaryNutrientDensity $controls3 i.wave#i.t1) (SM) if Sample2==1 & HHhighincome==0 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3977
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      182
{txt}{space 16}3 {c |}{col 19}{res}{space 3}      789
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      457
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:5,405}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,866}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:328} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.4497052{col 26}{space 2} 1.368482{col 37}{space 1}   -0.33{col 46}{space 3}0.742{col 54}{space 4} -3.13188{col 67}{space 3}  2.23247
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-2.758695{col 26}{space 2} 5.237051{col 37}{space 1}   -0.53{col 46}{space 3}0.598{col 54}{space 4}-13.02313{col 67}{space 3} 7.505735
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 6.888156{col 26}{space 2} 4.588434{col 37}{space 1}    1.50{col 46}{space 3}0.133{col 54}{space 4}-2.105009{col 67}{space 3} 15.88132
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-1.612585{col 26}{space 2} 1.762344{col 37}{space 1}   -0.92{col 46}{space 3}0.360{col 54}{space 4}-5.066715{col 67}{space 3} 1.841545
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 2.403374{col 26}{space 2} 1.861911{col 37}{space 1}    1.29{col 46}{space 3}0.197{col 54}{space 4}-1.245905{col 67}{space 3} 6.052654
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 5.829612{col 26}{space 2} 3.332276{col 37}{space 1}    1.75{col 46}{space 3}0.080{col 54}{space 4}-.7015296{col 67}{space 3} 12.36075
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-2.125893{col 26}{space 2} 1.790766{col 37}{space 1}   -1.19{col 46}{space 3}0.235{col 54}{space 4} -5.63573{col 67}{space 3} 1.383943
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-4.624378{col 26}{space 2} 2.153658{col 37}{space 1}   -2.15{col 46}{space 3}0.032{col 54}{space 4} -8.84547{col 67}{space 3}-.4032853
{txt}{space 10}4  {c |}{col 14}{res}{space 2} -2.06948{col 26}{space 2} 1.511365{col 37}{space 1}   -1.37{col 46}{space 3}0.171{col 54}{space 4}-5.031702{col 67}{space 3} .8927418
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,405}

{txt}{ralign 78:(Std. err. adjusted for {res:328} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}DietaryNut~y{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} 2.045351{col 26}{space 2} 1.511495{col 37}{space 1}    1.35{col 46}{space 3}0.176{col 54}{space 4}-.9171259{col 67}{space 3} 5.007827
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. *High income
. xthdidregress ra (DietaryNutrientDensity $controls3 i.wave#i.t1) (SM) if Sample2==1 & HHhighincome==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3189
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      168
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1336
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      710
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:5,403}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,283}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:319} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 3.086567{col 26}{space 2} 2.370034{col 37}{space 1}    1.30{col 46}{space 3}0.193{col 54}{space 4}-1.558615{col 67}{space 3} 7.731749
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 2.118421{col 26}{space 2} 3.281875{col 37}{space 1}    0.65{col 46}{space 3}0.519{col 54}{space 4}-4.313934{col 67}{space 3} 8.550777
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  7.17422{col 26}{space 2} 4.169396{col 37}{space 1}    1.72{col 46}{space 3}0.085{col 54}{space 4}-.9976446{col 67}{space 3} 15.34609
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.5118754{col 26}{space 2}  1.34969{col 37}{space 1}   -0.38{col 46}{space 3}0.704{col 54}{space 4}-3.157219{col 67}{space 3} 2.133468
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 3.101387{col 26}{space 2} 1.511121{col 37}{space 1}    2.05{col 46}{space 3}0.040{col 54}{space 4} .1396439{col 67}{space 3}  6.06313
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 2.154229{col 26}{space 2} 2.638084{col 37}{space 1}    0.82{col 46}{space 3}0.414{col 54}{space 4}-3.016322{col 67}{space 3} 7.324779
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}  1.18954{col 26}{space 2}  1.45209{col 37}{space 1}    0.82{col 46}{space 3}0.413{col 54}{space 4}-1.656504{col 67}{space 3} 4.035585
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-1.607522{col 26}{space 2} 1.982655{col 37}{space 1}   -0.81{col 46}{space 3}0.417{col 54}{space 4}-5.493454{col 67}{space 3} 2.278411
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 1.063452{col 26}{space 2}  1.87819{col 37}{space 1}    0.57{col 46}{space 3}0.571{col 54}{space 4}-2.617732{col 67}{space 3} 4.744636
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,403}

{txt}{ralign 78:(Std. err. adjusted for {res:319} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}DietaryNut~y{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} 2.614348{col 26}{space 2} 1.278484{col 37}{space 1}    2.04{col 46}{space 3}0.041{col 54}{space 4} .1085646{col 67}{space 3} 5.120131
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. *Low DNDS
. xthdidregress ra (DietaryNutrientDensity $controls3 i.wave#i.t1) (SM) if Sample2==1 & HighDNDS==0 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3974
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      196
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1096
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      669
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:5,935}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,871}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:335} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 3.199213{col 26}{space 2} 1.411662{col 37}{space 1}    2.27{col 46}{space 3}0.023{col 54}{space 4} .4324071{col 67}{space 3} 5.966019
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.8246585{col 26}{space 2}  3.71494{col 37}{space 1}   -0.22{col 46}{space 3}0.824{col 54}{space 4}-8.105806{col 67}{space 3} 6.456489
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 4.188222{col 26}{space 2} 3.906768{col 37}{space 1}    1.07{col 46}{space 3}0.284{col 54}{space 4}-3.468904{col 67}{space 3} 11.84535
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.2206375{col 26}{space 2} 1.021165{col 37}{space 1}   -0.22{col 46}{space 3}0.829{col 54}{space 4}-2.222083{col 67}{space 3} 1.780808
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 2.939774{col 26}{space 2} 1.133366{col 37}{space 1}    2.59{col 46}{space 3}0.009{col 54}{space 4}  .718418{col 67}{space 3}  5.16113
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 2.023727{col 26}{space 2} 2.044123{col 37}{space 1}    0.99{col 46}{space 3}0.322{col 54}{space 4}-1.982681{col 67}{space 3} 6.030135
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0400256{col 26}{space 2} 1.148527{col 37}{space 1}   -0.03{col 46}{space 3}0.972{col 54}{space 4}-2.291098{col 67}{space 3} 2.211046
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -1.99366{col 26}{space 2} 1.527992{col 37}{space 1}   -1.30{col 46}{space 3}0.192{col 54}{space 4}-4.988469{col 67}{space 3} 1.001149
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1550409{col 26}{space 2} 1.167581{col 37}{space 1}   -0.13{col 46}{space 3}0.894{col 54}{space 4}-2.443458{col 67}{space 3} 2.133376
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,935}

{txt}{ralign 78:(Std. err. adjusted for {res:335} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}DietaryNut~y{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} 2.054723{col 26}{space 2}  .958896{col 37}{space 1}    2.14{col 46}{space 3}0.032{col 54}{space 4} .1753215{col 67}{space 3} 3.934125
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. *High DNDS
. xthdidregress ra (DietaryNutrientDensity $controls3 i.wave#i.t1) (SM) if Sample2==1 & HighDNDS==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3192
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      154
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1029
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      498
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:4,873}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,278}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:326} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} -1.88372{col 26}{space 2} 2.239869{col 37}{space 1}   -0.84{col 46}{space 3}0.400{col 54}{space 4}-6.273783{col 67}{space 3} 2.506343
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 3.288063{col 26}{space 2} 4.050212{col 37}{space 1}    0.81{col 46}{space 3}0.417{col 54}{space 4}-4.650206{col 67}{space 3} 11.22633
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 11.96539{col 26}{space 2} 4.474459{col 37}{space 1}    2.67{col 46}{space 3}0.007{col 54}{space 4} 3.195609{col 67}{space 3} 20.73517
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-1.821335{col 26}{space 2} 1.807916{col 37}{space 1}   -1.01{col 46}{space 3}0.314{col 54}{space 4}-5.364784{col 67}{space 3} 1.722114
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 2.672864{col 26}{space 2} 2.080475{col 37}{space 1}    1.28{col 46}{space 3}0.199{col 54}{space 4}-1.404793{col 67}{space 3}  6.75052
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 4.994737{col 26}{space 2} 3.506772{col 37}{space 1}    1.42{col 46}{space 3}0.154{col 54}{space 4} -1.87841{col 67}{space 3} 11.86788
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .2995869{col 26}{space 2} 2.414561{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-4.432866{col 67}{space 3}  5.03204
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-4.774097{col 26}{space 2} 2.522933{col 37}{space 1}   -1.89{col 46}{space 3}0.058{col 54}{space 4}-9.718955{col 67}{space 3} .1707621
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.7892789{col 26}{space 2} 2.564527{col 37}{space 1}   -0.31{col 46}{space 3}0.758{col 54}{space 4} -5.81566{col 67}{space 3} 4.237103
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:4,873}

{txt}{ralign 78:(Std. err. adjusted for {res:326} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}DietaryNut~y{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} 2.965108{col 26}{space 2}  1.72873{col 37}{space 1}    1.72{col 46}{space 3}0.086{col 54}{space 4} -.423141{col 67}{space 3} 6.353357
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
{txt}end of do-file

{com}. do "C:\Users\Jayson\AppData\Local\Temp\STD4320_000000.tmp"
{txt}
{com}. 
. 
. clear
{txt}
{com}. 
. 
{txt}end of do-file

{com}. do "C:\Users\Jayson\AppData\Local\Temp\STD4320_000000.tmp"
{txt}
{com}. 
. 
. ********************************************************************************
. *                     Supplementary Figures and Tables                         *
. ********************************************************************************
. 
. use Women2025.dta,clear
{txt}
{com}. **Table S5(1)
. xthdidregress ra (lnshoppingtime $controls3 i.wave#i.t1) (SM) if Sample1==1 & GENDER==2 & alwaystreated!=1 & main_shopping==1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     2877
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      210
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1183
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      644
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:4,914}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:1,878}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:158} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0620686{col 26}{space 2} .1338472{col 37}{space 1}    0.46{col 46}{space 3}0.643{col 54}{space 4} -.200267{col 67}{space 3} .3244043
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2725615{col 26}{space 2} .2996058{col 37}{space 1}   -0.91{col 46}{space 3}0.363{col 54}{space 4}-.8597782{col 67}{space 3} .3146551
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.4214709{col 26}{space 2} .3606433{col 37}{space 1}   -1.17{col 46}{space 3}0.243{col 54}{space 4}-1.128319{col 67}{space 3} .2853769
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0387487{col 26}{space 2}  .096807{col 37}{space 1}    0.40{col 46}{space 3}0.689{col 54}{space 4}-.1509895{col 67}{space 3} .2284869
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -.389576{col 26}{space 2} .1960044{col 37}{space 1}   -1.99{col 46}{space 3}0.047{col 54}{space 4}-.7737376{col 67}{space 3}-.0054144
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.3647352{col 26}{space 2} .1762174{col 37}{space 1}   -2.07{col 46}{space 3}0.038{col 54}{space 4} -.710115{col 67}{space 3}-.0193554
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0827929{col 26}{space 2} .1195227{col 37}{space 1}   -0.69{col 46}{space 3}0.489{col 54}{space 4} -.317053{col 67}{space 3} .1514672
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0978537{col 26}{space 2} .1999593{col 37}{space 1}    0.49{col 46}{space 3}0.625{col 54}{space 4}-.2940594{col 67}{space 3} .4897668
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1500417{col 26}{space 2} .1657079{col 37}{space 1}    0.91{col 46}{space 3}0.365{col 54}{space 4}-.1747398{col 67}{space 3} .4748231
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:4,914}

{txt}{ralign 78:(Std. err. adjusted for {res:158} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}lnshopping~e{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} -.254497{col 26}{space 2}  .124319{col 37}{space 1}   -2.05{col 46}{space 3}0.041{col 54}{space 4}-.4981577{col 67}{space 3}-.0108362
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. **Table S5(2)
. xthdidregress ra (lncookingtime  $controls3 i.wave#i.t1) (SM) if Sample1==1 & GENDER==2 & alwaystreated!=1 & main_cooking==1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     2936
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      212
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1174
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      646
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:4,968}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:1,898}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:157} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.2987377{col 26}{space 2} .1102252{col 37}{space 1}   -2.71{col 46}{space 3}0.007{col 54}{space 4}-.5147751{col 67}{space 3}-.0827003
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -.403709{col 26}{space 2} .2359475{col 37}{space 1}   -1.71{col 46}{space 3}0.087{col 54}{space 4}-.8661576{col 67}{space 3} .0587395
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.3715298{col 26}{space 2} .1616826{col 37}{space 1}   -2.30{col 46}{space 3}0.022{col 54}{space 4}-.6884219{col 67}{space 3}-.0546377
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0219941{col 26}{space 2} .0990266{col 37}{space 1}   -0.22{col 46}{space 3}0.824{col 54}{space 4}-.2160826{col 67}{space 3} .1720944
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1953367{col 26}{space 2} .1887373{col 37}{space 1}   -1.03{col 46}{space 3}0.301{col 54}{space 4}-.5652551{col 67}{space 3} .1745816
{txt}{space 10}4  {c |}{col 14}{res}{space 2} -.346721{col 26}{space 2} .1494921{col 37}{space 1}   -2.32{col 46}{space 3}0.020{col 54}{space 4}-.6397201{col 67}{space 3}-.0537219
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0210904{col 26}{space 2} .1148898{col 37}{space 1}   -0.18{col 46}{space 3}0.854{col 54}{space 4}-.2462702{col 67}{space 3} .2040894
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0871876{col 26}{space 2} .1230039{col 37}{space 1}    0.71{col 46}{space 3}0.478{col 54}{space 4}-.1538957{col 67}{space 3} .3282709
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0006795{col 26}{space 2} .1298009{col 37}{space 1}   -0.01{col 46}{space 3}0.996{col 54}{space 4}-.2550846{col 67}{space 3} .2537257
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:4,968}

{txt}{ralign 78:(Std. err. adjusted for {res:157} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}lncookingt~e{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} -.232171{col 26}{space 2} .0976144{col 37}{space 1}   -2.38{col 46}{space 3}0.017{col 54}{space 4}-.4234918{col 67}{space 3}-.0408502
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
{txt}end of do-file

{com}. do "C:\Users\Jayson\AppData\Local\Temp\STD4320_000000.tmp"
{txt}
{com}. 
. 
. clear
{txt}
{com}. 
. 
{txt}end of do-file

{com}. do "C:\Users\Jayson\AppData\Local\Temp\STD4320_000000.tmp"
{txt}
{com}. 
. 
. use Data2025.dta, clear
{txt}
{com}. **Table S5(3)
. xthdidregress ra (shoppingtime $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1 & GENDER==1, group(idind) vce(cluster Commid_GENDER) 
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3245
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      124
{txt}{space 16}3 {c |}{col 19}{res}{space 3}      865
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      467
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:4,701}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,385}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 4.631953{col 26}{space 2} 1.820348{col 37}{space 1}    2.54{col 46}{space 3}0.011{col 54}{space 4} 1.064136{col 67}{space 3}  8.19977
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-6.902504{col 26}{space 2} 5.848154{col 37}{space 1}   -1.18{col 46}{space 3}0.238{col 54}{space 4}-18.36468{col 67}{space 3} 4.559668
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-7.604083{col 26}{space 2} 5.201396{col 37}{space 1}   -1.46{col 46}{space 3}0.144{col 54}{space 4}-17.79863{col 67}{space 3} 2.590467
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-3.268017{col 26}{space 2} 1.286058{col 37}{space 1}   -2.54{col 46}{space 3}0.011{col 54}{space 4}-5.788644{col 67}{space 3}-.7473892
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-4.065442{col 26}{space 2} 5.670879{col 37}{space 1}   -0.72{col 46}{space 3}0.473{col 54}{space 4}-15.18016{col 67}{space 3} 7.049276
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-8.393533{col 26}{space 2} 3.492285{col 37}{space 1}   -2.40{col 46}{space 3}0.016{col 54}{space 4}-15.23829{col 67}{space 3} -1.54878
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.9186438{col 26}{space 2} 2.361148{col 37}{space 1}   -0.39{col 46}{space 3}0.697{col 54}{space 4}-5.546408{col 67}{space 3} 3.709121
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-3.182787{col 26}{space 2} 2.926822{col 37}{space 1}   -1.09{col 46}{space 3}0.277{col 54}{space 4}-8.919252{col 67}{space 3} 2.553678
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 1.565843{col 26}{space 2} 2.334246{col 37}{space 1}    0.67{col 46}{space 3}0.502{col 54}{space 4}-3.009195{col 67}{space 3} 6.140881
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:4,701}

{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}shoppingtime{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-3.723277{col 26}{space 2} 2.996677{col 37}{space 1}   -1.24{col 46}{space 3}0.214{col 54}{space 4}-9.596656{col 67}{space 3} 2.150102
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Table S5(4)
. xthdidregress ra (cookingtime  $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1 & GENDER==1, group(idind) vce(cluster Commid_GENDER) 
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3245
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      124
{txt}{space 16}3 {c |}{col 19}{res}{space 3}      865
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      467
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:4,701}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,385}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 8.366042{col 26}{space 2} 4.036125{col 37}{space 1}    2.07{col 46}{space 3}0.038{col 54}{space 4} .4553827{col 67}{space 3}  16.2767
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 3.791654{col 26}{space 2} 5.494989{col 37}{space 1}    0.69{col 46}{space 3}0.490{col 54}{space 4}-6.978326{col 67}{space 3} 14.56163
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 9.619163{col 26}{space 2} 10.49013{col 37}{space 1}    0.92{col 46}{space 3}0.359{col 54}{space 4}-10.94112{col 67}{space 3} 30.17945
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-2.719294{col 26}{space 2} 2.639842{col 37}{space 1}   -1.03{col 46}{space 3}0.303{col 54}{space 4} -7.89329{col 67}{space 3} 2.454701
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .6872064{col 26}{space 2}  3.54018{col 37}{space 1}    0.19{col 46}{space 3}0.846{col 54}{space 4} -6.25142{col 67}{space 3} 7.625833
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-4.292023{col 26}{space 2} 4.733634{col 37}{space 1}   -0.91{col 46}{space 3}0.365{col 54}{space 4}-13.56978{col 67}{space 3} 4.985729
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.2873145{col 26}{space 2} 3.332265{col 37}{space 1}   -0.09{col 46}{space 3}0.931{col 54}{space 4}-6.818433{col 67}{space 3} 6.243804
{txt}{space 10}3  {c |}{col 14}{res}{space 2}  .431637{col 26}{space 2} 4.187664{col 37}{space 1}    0.10{col 46}{space 3}0.918{col 54}{space 4}-7.776033{col 67}{space 3} 8.639307
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-5.780129{col 26}{space 2}  2.56058{col 37}{space 1}   -2.26{col 46}{space 3}0.024{col 54}{space 4}-10.79877{col 67}{space 3}-.7614853
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:4,701}

{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} cookingtime{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-.3900928{col 26}{space 2} 2.451219{col 37}{space 1}   -0.16{col 46}{space 3}0.874{col 54}{space 4}-5.194394{col 67}{space 3} 4.414208
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
{txt}end of do-file

{com}. do "C:\Users\Jayson\AppData\Local\Temp\STD4320_000000.tmp"
{txt}
{com}. 
. **Table S7(1)
. xthdidregress ra (Energy $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1 & adequateEnergy==0, group(idind) vce(cluster Commid_GENDER) //低摄入
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     2552
{txt}{space 16}2 {c |}{col 19}{res}{space 3}       72
{txt}{space 16}3 {c |}{col 19}{res}{space 3}      428
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      388
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:3,440}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:1,878}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:293} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 3.101942{col 26}{space 2} 168.9053{col 37}{space 1}    0.02{col 46}{space 3}0.985{col 54}{space 4}-327.9464{col 67}{space 3} 334.1502
{txt}{space 10}3  {c |}{col 14}{res}{space 2}  220.459{col 26}{space 2}  193.564{col 37}{space 1}    1.14{col 46}{space 3}0.255{col 54}{space 4}-158.9194{col 67}{space 3} 599.8375
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 110.6765{col 26}{space 2} 245.9236{col 37}{space 1}    0.45{col 46}{space 3}0.653{col 54}{space 4}-371.3249{col 67}{space 3}  592.678
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 37.34173{col 26}{space 2} 138.0215{col 37}{space 1}    0.27{col 46}{space 3}0.787{col 54}{space 4}-233.1755{col 67}{space 3}  307.859
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -70.6553{col 26}{space 2} 210.2548{col 37}{space 1}   -0.34{col 46}{space 3}0.737{col 54}{space 4}-482.7471{col 67}{space 3} 341.4365
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 169.8062{col 26}{space 2} 234.2145{col 37}{space 1}    0.73{col 46}{space 3}0.468{col 54}{space 4}-289.2458{col 67}{space 3} 628.8581
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 1.813727{col 26}{space 2} 83.66286{col 37}{space 1}    0.02{col 46}{space 3}0.983{col 54}{space 4}-162.1625{col 67}{space 3} 165.7899
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 97.21273{col 26}{space 2} 154.6846{col 37}{space 1}    0.63{col 46}{space 3}0.530{col 54}{space 4}-205.9636{col 67}{space 3}  400.389
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-230.9991{col 26}{space 2} 139.1507{col 37}{space 1}   -1.66{col 46}{space 3}0.097{col 54}{space 4}-503.7294{col 67}{space 3} 41.73115
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,440}

{txt}{ralign 78:(Std. err. adjusted for {res:293} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      Energy{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-42.90881{col 26}{space 2} 103.1411{col 37}{space 1}   -0.42{col 46}{space 3}0.677{col 54}{space 4}-245.0616{col 67}{space 3}  159.244
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Table S7(2)
. xthdidregress ra (Energy $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1 & adequateEnergy==1, group(idind) vce(cluster Commid_GENDER) //高摄入
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     4614
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      278
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1697
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      779
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:7,368}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:3,271}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:322} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 90.62785{col 26}{space 2} 123.9254{col 37}{space 1}    0.73{col 46}{space 3}0.465{col 54}{space 4}-152.2615{col 67}{space 3} 333.5172
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-78.21721{col 26}{space 2} 121.3734{col 37}{space 1}   -0.64{col 46}{space 3}0.519{col 54}{space 4}-316.1047{col 67}{space 3} 159.6703
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-184.1295{col 26}{space 2} 131.6388{col 37}{space 1}   -1.40{col 46}{space 3}0.162{col 54}{space 4}-442.1368{col 67}{space 3} 73.87766
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 39.78327{col 26}{space 2} 84.61082{col 37}{space 1}    0.47{col 46}{space 3}0.638{col 54}{space 4}-126.0509{col 67}{space 3} 205.6174
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-233.2129{col 26}{space 2}  115.255{col 37}{space 1}   -2.02{col 46}{space 3}0.043{col 54}{space 4}-459.1085{col 67}{space 3}-7.317177
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-321.2588{col 26}{space 2} 150.7574{col 37}{space 1}   -2.13{col 46}{space 3}0.033{col 54}{space 4}-616.7378{col 67}{space 3}-25.77974
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 27.78147{col 26}{space 2} 83.30066{col 37}{space 1}    0.33{col 46}{space 3}0.739{col 54}{space 4}-135.4848{col 67}{space 3} 191.0478
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-12.87412{col 26}{space 2} 124.4906{col 37}{space 1}   -0.10{col 46}{space 3}0.918{col 54}{space 4}-256.8713{col 67}{space 3} 231.1231
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-193.5292{col 26}{space 2} 83.27008{col 37}{space 1}   -2.32{col 46}{space 3}0.020{col 54}{space 4}-356.7356{col 67}{space 3}-30.32288
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:7,368}

{txt}{ralign 78:(Std. err. adjusted for {res:322} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      Energy{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-212.7771{col 26}{space 2} 79.10691{col 37}{space 1}   -2.69{col 46}{space 3}0.007{col 54}{space 4}-367.8238{col 67}{space 3}-57.73038
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Table S7(3)
. xthdidregress ra (Protein $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1 & adequateProtein==0, group(idind) vce(cluster Commid_GENDER)  //蛋白质不够
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3110
{txt}{space 16}2 {c |}{col 19}{res}{space 3}       94
{txt}{space 16}3 {c |}{col 19}{res}{space 3}      684
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      395
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:4,283}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,185}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:309} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 11.34373{col 26}{space 2} 5.735101{col 37}{space 1}    1.98{col 46}{space 3}0.048{col 54}{space 4} .1031432{col 67}{space 3} 22.58433
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-4.744808{col 26}{space 2} 8.159711{col 37}{space 1}   -0.58{col 46}{space 3}0.561{col 54}{space 4}-20.73755{col 67}{space 3} 11.24793
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-2.293709{col 26}{space 2} 6.600543{col 37}{space 1}   -0.35{col 46}{space 3}0.728{col 54}{space 4}-15.23054{col 67}{space 3} 10.64312
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 1.340941{col 26}{space 2} 2.951208{col 37}{space 1}    0.45{col 46}{space 3}0.650{col 54}{space 4}-4.443321{col 67}{space 3} 7.125203
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.3824176{col 26}{space 2} 2.588254{col 37}{space 1}   -0.15{col 46}{space 3}0.883{col 54}{space 4}-5.455302{col 67}{space 3} 4.690467
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 5.071081{col 26}{space 2} 4.809884{col 37}{space 1}    1.05{col 46}{space 3}0.292{col 54}{space 4}-4.356118{col 67}{space 3} 14.49828
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.3803625{col 26}{space 2} 3.597878{col 37}{space 1}   -0.11{col 46}{space 3}0.916{col 54}{space 4}-7.432075{col 67}{space 3}  6.67135
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 1.633017{col 26}{space 2} 4.259029{col 37}{space 1}    0.38{col 46}{space 3}0.701{col 54}{space 4}-6.714527{col 67}{space 3} 9.980561
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-4.853355{col 26}{space 2} 3.608805{col 37}{space 1}   -1.34{col 46}{space 3}0.179{col 54}{space 4}-11.92648{col 67}{space 3} 2.219773
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:4,283}

{txt}{ralign 78:(Std. err. adjusted for {res:309} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     Protein{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .6095003{col 26}{space 2} 2.183875{col 37}{space 1}    0.28{col 46}{space 3}0.780{col 54}{space 4}-3.670816{col 67}{space 3} 4.889817
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Table S7(4)
. xthdidregress ra (Protein $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1 & adequateProtein==1, group(idind) vce(cluster Commid_GENDER)  //蛋白质够
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     4056
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      256
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1441
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      772
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:6,525}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,964}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:327} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 3.052977{col 26}{space 2} 4.907134{col 37}{space 1}    0.62{col 46}{space 3}0.534{col 54}{space 4} -6.56483{col 67}{space 3} 12.67078
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 4.051517{col 26}{space 2} 6.216492{col 37}{space 1}    0.65{col 46}{space 3}0.515{col 54}{space 4}-8.132583{col 67}{space 3} 16.23562
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 7.058527{col 26}{space 2} 4.873098{col 37}{space 1}    1.45{col 46}{space 3}0.147{col 54}{space 4} -2.49257{col 67}{space 3} 16.60962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-2.834225{col 26}{space 2} 3.550275{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-9.792637{col 67}{space 3} 4.124186
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-5.920836{col 26}{space 2} 5.449792{col 37}{space 1}   -1.09{col 46}{space 3}0.277{col 54}{space 4}-16.60223{col 67}{space 3} 4.760561
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-10.64186{col 26}{space 2} 5.664318{col 37}{space 1}   -1.88{col 46}{space 3}0.060{col 54}{space 4}-21.74371{col 67}{space 3} .4600033
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 1.269426{col 26}{space 2} 3.969773{col 37}{space 1}    0.32{col 46}{space 3}0.749{col 54}{space 4}-6.511186{col 67}{space 3} 9.050038
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-5.704569{col 26}{space 2} 4.278799{col 37}{space 1}   -1.33{col 46}{space 3}0.182{col 54}{space 4}-14.09086{col 67}{space 3} 2.681723
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-7.082382{col 26}{space 2} 3.305213{col 37}{space 1}   -2.14{col 46}{space 3}0.032{col 54}{space 4}-13.56048{col 67}{space 3}-.6042833
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:6,525}

{txt}{ralign 78:(Std. err. adjusted for {res:327} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     Protein{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-5.139135{col 26}{space 2} 3.220641{col 37}{space 1}   -1.60{col 46}{space 3}0.111{col 54}{space 4}-11.45148{col 67}{space 3} 1.173206
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Table S8(1)
. xthdidregress ra (EnergyFromFat   $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)  //全部
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     7166
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      350
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     2125
{txt}{space 16}4 {c |}{col 19}{res}{space 3}     1167
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:10,808}
{txt}{col 54}{lalign 16:Number of panels}{col 70} = {res}{ralign 6:5,149}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0034229{col 26}{space 2} .0164338{col 37}{space 1}   -0.21{col 46}{space 3}0.835{col 54}{space 4}-.0356326{col 67}{space 3} .0287868
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -.041978{col 26}{space 2} .0323891{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.1054594{col 67}{space 3} .0215035
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0456156{col 26}{space 2} .0296747{col 37}{space 1}    1.54{col 46}{space 3}0.124{col 54}{space 4}-.0125456{col 67}{space 3} .1037769
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0153136{col 26}{space 2} .0109017{col 37}{space 1}   -1.40{col 46}{space 3}0.160{col 54}{space 4}-.0366806{col 67}{space 3} .0060534
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0268054{col 26}{space 2} .0156753{col 37}{space 1}    1.71{col 46}{space 3}0.087{col 54}{space 4}-.0039176{col 67}{space 3} .0575284
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1045097{col 26}{space 2} .0221356{col 37}{space 1}    4.72{col 46}{space 3}0.000{col 54}{space 4} .0611246{col 67}{space 3} .1478947
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0007053{col 26}{space 2} .0102391{col 37}{space 1}   -0.07{col 46}{space 3}0.945{col 54}{space 4}-.0207736{col 67}{space 3}  .019363
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0185351{col 26}{space 2} .0192818{col 37}{space 1}   -0.96{col 46}{space 3}0.336{col 54}{space 4}-.0563267{col 67}{space 3} .0192565
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0412467{col 26}{space 2}  .014727{col 37}{space 1}    2.80{col 46}{space 3}0.005{col 54}{space 4} .0123823{col 67}{space 3} .0701112
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}EnergyFrom~t{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .0429489{col 26}{space 2} .0119191{col 37}{space 1}    3.60{col 46}{space 3}0.000{col 54}{space 4} .0195879{col 67}{space 3}   .06631
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. **Table S8(2)
. xthdidregress ra (EnergyFromFat30 $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)  //全部
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     7166
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      350
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     2125
{txt}{space 16}4 {c |}{col 19}{res}{space 3}     1167
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:10,808}
{txt}{col 54}{lalign 16:Number of panels}{col 70} = {res}{ralign 6:5,149}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0311611{col 26}{space 2} .0850019{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.1977617{col 67}{space 3} .1354395
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2803585{col 26}{space 2} .1485192{col 37}{space 1}   -1.89{col 46}{space 3}0.059{col 54}{space 4}-.5714508{col 67}{space 3} .0107339
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0047036{col 26}{space 2} .1195005{col 37}{space 1}    0.04{col 46}{space 3}0.969{col 54}{space 4} -.229513{col 67}{space 3} .2389202
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0567636{col 26}{space 2} .0466783{col 37}{space 1}   -1.22{col 46}{space 3}0.224{col 54}{space 4}-.1482514{col 67}{space 3} .0347243
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0256231{col 26}{space 2} .0671999{col 37}{space 1}    0.38{col 46}{space 3}0.703{col 54}{space 4}-.1060863{col 67}{space 3} .1573325
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .3830306{col 26}{space 2}  .089943{col 37}{space 1}    4.26{col 46}{space 3}0.000{col 54}{space 4} .2067456{col 67}{space 3} .5593156
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0931222{col 26}{space 2} .0491249{col 37}{space 1}   -1.90{col 46}{space 3}0.058{col 54}{space 4}-.1894053{col 67}{space 3} .0031609
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0098285{col 26}{space 2} .0919791{col 37}{space 1}    0.11{col 46}{space 3}0.915{col 54}{space 4}-.1704473{col 67}{space 3} .1901042
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1091008{col 26}{space 2} .0665789{col 37}{space 1}    1.64{col 46}{space 3}0.101{col 54}{space 4}-.0213914{col 67}{space 3}  .239593
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}EnergyFro~30{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .1040941{col 26}{space 2} .0467573{col 37}{space 1}    2.23{col 46}{space 3}0.026{col 54}{space 4} .0124515{col 67}{space 3} .1957366
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. 
{txt}end of do-file

{com}. do "C:\Users\Jayson\AppData\Local\Temp\STD4320_000000.tmp"
{txt}
{com}. 
. 
. **Figure S4-Salt
. xthdidregress ra (CFPS_salt       $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     7166
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      350
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     2125
{txt}{space 16}4 {c |}{col 19}{res}{space 3}     1167
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:10,808}
{txt}{col 54}{lalign 16:Number of panels}{col 70} = {res}{ralign 6:5,149}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0946781{col 26}{space 2}  .065758{col 37}{space 1}   -1.44{col 46}{space 3}0.150{col 54}{space 4}-.2235614{col 67}{space 3} .0342052
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1475494{col 26}{space 2} .1010338{col 37}{space 1}   -1.46{col 46}{space 3}0.144{col 54}{space 4} -.345572{col 67}{space 3} .0504733
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0336611{col 26}{space 2} .0921738{col 37}{space 1}   -0.37{col 46}{space 3}0.715{col 54}{space 4}-.2143184{col 67}{space 3} .1469962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0250265{col 26}{space 2} .0388648{col 37}{space 1}    0.64{col 46}{space 3}0.520{col 54}{space 4} -.051147{col 67}{space 3} .1012001
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0438276{col 26}{space 2} .0468105{col 37}{space 1}   -0.94{col 46}{space 3}0.349{col 54}{space 4}-.1355744{col 67}{space 3} .0479193
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0184859{col 26}{space 2}   .05508{col 37}{space 1}   -0.34{col 46}{space 3}0.737{col 54}{space 4}-.1264406{col 67}{space 3} .0894688
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}  .025519{col 26}{space 2} .0395669{col 37}{space 1}    0.64{col 46}{space 3}0.519{col 54}{space 4}-.0520306{col 67}{space 3} .1030687
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0070922{col 26}{space 2} .0486487{col 37}{space 1}   -0.15{col 46}{space 3}0.884{col 54}{space 4} -.102442{col 67}{space 3} .0882576
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  -.04448{col 26}{space 2} .0520725{col 37}{space 1}   -0.85{col 46}{space 3}0.393{col 54}{space 4}-.1465401{col 67}{space 3} .0575802
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   CFPS_salt{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-.0470222{col 26}{space 2}   .03319{col 37}{space 1}   -1.42{col 46}{space 3}0.157{col 54}{space 4}-.1120735{col 67}{space 3}  .018029
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. **Figure S4-Edible oil
. xthdidregress ra (CFPS_oil        $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     7166
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      350
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     2125
{txt}{space 16}4 {c |}{col 19}{res}{space 3}     1167
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:10,808}
{txt}{col 54}{lalign 16:Number of panels}{col 70} = {res}{ralign 6:5,149}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0782796{col 26}{space 2} .0425149{col 37}{space 1}    1.84{col 46}{space 3}0.066{col 54}{space 4}-.0050481{col 67}{space 3} .1616073
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0966191{col 26}{space 2} .0727778{col 37}{space 1}    1.33{col 46}{space 3}0.184{col 54}{space 4}-.0460227{col 67}{space 3} .2392609
{txt}{space 10}4  {c |}{col 14}{res}{space 2} -.108114{col 26}{space 2} .0841792{col 37}{space 1}   -1.28{col 46}{space 3}0.199{col 54}{space 4}-.2731021{col 67}{space 3} .0568742
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0171133{col 26}{space 2} .0317904{col 37}{space 1}    0.54{col 46}{space 3}0.590{col 54}{space 4}-.0451947{col 67}{space 3} .0794213
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1114564{col 26}{space 2} .0457631{col 37}{space 1}   -2.44{col 46}{space 3}0.015{col 54}{space 4}-.2011505{col 67}{space 3}-.0217624
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0511704{col 26}{space 2} .0598752{col 37}{space 1}   -0.85{col 46}{space 3}0.393{col 54}{space 4}-.1685236{col 67}{space 3} .0661828
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}  .044281{col 26}{space 2} .0456199{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0451323{col 67}{space 3} .1336943
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0422696{col 26}{space 2} .0579861{col 37}{space 1}   -0.73{col 46}{space 3}0.466{col 54}{space 4}-.1559203{col 67}{space 3} .0713811
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0634674{col 26}{space 2}  .042156{col 37}{space 1}   -1.51{col 46}{space 3}0.132{col 54}{space 4}-.1460917{col 67}{space 3} .0191569
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    CFPS_oil{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-.0618624{col 26}{space 2} .0323302{col 37}{space 1}   -1.91{col 46}{space 3}0.056{col 54}{space 4}-.1252284{col 67}{space 3} .0015037
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. **Figure S4-Staples
. xthdidregress ra (CFPS_staples    $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     7166
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      350
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     2125
{txt}{space 16}4 {c |}{col 19}{res}{space 3}     1167
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:10,808}
{txt}{col 54}{lalign 16:Number of panels}{col 70} = {res}{ralign 6:5,149}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} -.017048{col 26}{space 2} .0576509{col 37}{space 1}   -0.30{col 46}{space 3}0.767{col 54}{space 4}-.1300417{col 67}{space 3} .0959457
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0220203{col 26}{space 2} .0680312{col 37}{space 1}   -0.32{col 46}{space 3}0.746{col 54}{space 4}-.1553591{col 67}{space 3} .1113185
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0669511{col 26}{space 2} .0848505{col 37}{space 1}    0.79{col 46}{space 3}0.430{col 54}{space 4}-.0993529{col 67}{space 3} .2332551
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0193648{col 26}{space 2} .0430249{col 37}{space 1}   -0.45{col 46}{space 3}0.653{col 54}{space 4} -.103692{col 67}{space 3} .0649624
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0607948{col 26}{space 2} .0562707{col 37}{space 1}    1.08{col 46}{space 3}0.280{col 54}{space 4}-.0494936{col 67}{space 3} .1710833
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .2078498{col 26}{space 2} .0623734{col 37}{space 1}    3.33{col 46}{space 3}0.001{col 54}{space 4} .0856002{col 67}{space 3} .3300995
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0463261{col 26}{space 2} .0453488{col 37}{space 1}    1.02{col 46}{space 3}0.307{col 54}{space 4}-.0425559{col 67}{space 3} .1352081
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0354529{col 26}{space 2} .0590154{col 37}{space 1}    0.60{col 46}{space 3}0.548{col 54}{space 4}-.0802151{col 67}{space 3} .1511209
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0423459{col 26}{space 2} .0417982{col 37}{space 1}    1.01{col 46}{space 3}0.311{col 54}{space 4}-.0395771{col 67}{space 3} .1242688
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}CFPS_staples{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .0830915{col 26}{space 2} .0354187{col 37}{space 1}    2.35{col 46}{space 3}0.019{col 54}{space 4} .0136721{col 67}{space 3} .1525108
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. **Figure S4-Vegetables
. xthdidregress ra (CFPS_vegetables $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     7166
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      350
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     2125
{txt}{space 16}4 {c |}{col 19}{res}{space 3}     1167
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:10,808}
{txt}{col 54}{lalign 16:Number of panels}{col 70} = {res}{ralign 6:5,149}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0828395{col 26}{space 2}  .047317{col 37}{space 1}    1.75{col 46}{space 3}0.080{col 54}{space 4}-.0099001{col 67}{space 3} .1755791
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0912712{col 26}{space 2} .0735876{col 37}{space 1}    1.24{col 46}{space 3}0.215{col 54}{space 4}-.0529578{col 67}{space 3} .2355001
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1374633{col 26}{space 2} .0671296{col 37}{space 1}    2.05{col 46}{space 3}0.041{col 54}{space 4} .0058916{col 67}{space 3} .2690349
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0304365{col 26}{space 2} .0340144{col 37}{space 1}    0.89{col 46}{space 3}0.371{col 54}{space 4}-.0362305{col 67}{space 3} .0971034
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0638683{col 26}{space 2} .0439585{col 37}{space 1}    1.45{col 46}{space 3}0.146{col 54}{space 4}-.0222887{col 67}{space 3} .1500254
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0673134{col 26}{space 2} .0528195{col 37}{space 1}    1.27{col 46}{space 3}0.203{col 54}{space 4}-.0362109{col 67}{space 3} .1708376
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0135408{col 26}{space 2} .0383973{col 37}{space 1}    0.35{col 46}{space 3}0.724{col 54}{space 4}-.0617164{col 67}{space 3}  .088798
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0875242{col 26}{space 2} .0551866{col 37}{space 1}    1.59{col 46}{space 3}0.113{col 54}{space 4}-.0206396{col 67}{space 3}  .195688
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1266993{col 26}{space 2} .0422689{col 37}{space 1}   -3.00{col 46}{space 3}0.003{col 54}{space 4}-.2095447{col 67}{space 3}-.0438538
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}CFPS_veget~s{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .0398964{col 26}{space 2} .0298832{col 37}{space 1}    1.34{col 46}{space 3}0.182{col 54}{space 4}-.0186736{col 67}{space 3} .0984665
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. **Figure S4-Fruits
. xthdidregress ra (CFPS_fruits     $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     7166
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      350
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     2125
{txt}{space 16}4 {c |}{col 19}{res}{space 3}     1167
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:10,808}
{txt}{col 54}{lalign 16:Number of panels}{col 70} = {res}{ralign 6:5,149}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0009216{col 26}{space 2}  .017421{col 37}{space 1}    0.05{col 46}{space 3}0.958{col 54}{space 4} -.033223{col 67}{space 3} .0350662
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0142214{col 26}{space 2} .0302887{col 37}{space 1}    0.47{col 46}{space 3}0.639{col 54}{space 4}-.0451434{col 67}{space 3} .0735863
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1138612{col 26}{space 2} .0548099{col 37}{space 1}    2.08{col 46}{space 3}0.038{col 54}{space 4} .0064358{col 67}{space 3} .2212867
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} -.016787{col 26}{space 2}  .013338{col 37}{space 1}   -1.26{col 46}{space 3}0.208{col 54}{space 4} -.042929{col 67}{space 3} .0093551
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0255872{col 26}{space 2}  .026084{col 37}{space 1}   -0.98{col 46}{space 3}0.327{col 54}{space 4}-.0767109{col 67}{space 3} .0255365
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0452047{col 26}{space 2} .0476958{col 37}{space 1}    0.95{col 46}{space 3}0.343{col 54}{space 4}-.0482774{col 67}{space 3} .1386868
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0698402{col 26}{space 2} .0257739{col 37}{space 1}    2.71{col 46}{space 3}0.007{col 54}{space 4} .0193242{col 67}{space 3} .1203562
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0055451{col 26}{space 2}  .049457{col 37}{space 1}   -0.11{col 46}{space 3}0.911{col 54}{space 4}-.1024791{col 67}{space 3} .0913888
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1774853{col 26}{space 2}  .053007{col 37}{space 1}   -3.35{col 46}{space 3}0.001{col 54}{space 4}-.2813772{col 67}{space 3}-.0735934
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} CFPS_fruits{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-.0218459{col 26}{space 2} .0211932{col 37}{space 1}   -1.03{col 46}{space 3}0.303{col 54}{space 4}-.0633839{col 67}{space 3}  .019692
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. **Figure S4-Meat, poultry, and egg
. xthdidregress ra (CFPS_meat       $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     7166
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      350
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     2125
{txt}{space 16}4 {c |}{col 19}{res}{space 3}     1167
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:10,808}
{txt}{col 54}{lalign 16:Number of panels}{col 70} = {res}{ralign 6:5,149}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .1153344{col 26}{space 2} .0779007{col 37}{space 1}    1.48{col 46}{space 3}0.139{col 54}{space 4}-.0373482{col 67}{space 3} .2680171
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1875454{col 26}{space 2} .0779484{col 37}{space 1}   -2.41{col 46}{space 3}0.016{col 54}{space 4}-.3403214{col 67}{space 3}-.0347694
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1585782{col 26}{space 2} .0649917{col 37}{space 1}    2.44{col 46}{space 3}0.015{col 54}{space 4} .0311969{col 67}{space 3} .2859596
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.1000949{col 26}{space 2} .0397202{col 37}{space 1}   -2.52{col 46}{space 3}0.012{col 54}{space 4} -.177945{col 67}{space 3}-.0222447
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0682292{col 26}{space 2} .0483079{col 37}{space 1}   -1.41{col 46}{space 3}0.158{col 54}{space 4}-.1629109{col 67}{space 3} .0264525
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1991421{col 26}{space 2} .0644245{col 37}{space 1}    3.09{col 46}{space 3}0.002{col 54}{space 4} .0728724{col 67}{space 3} .3254118
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0306658{col 26}{space 2} .0425073{col 37}{space 1}    0.72{col 46}{space 3}0.471{col 54}{space 4} -.052647{col 67}{space 3} .1139785
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0399168{col 26}{space 2} .0666404{col 37}{space 1}   -0.60{col 46}{space 3}0.549{col 54}{space 4}-.1705296{col 67}{space 3} .0906959
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0626386{col 26}{space 2} .0549189{col 37}{space 1}   -1.14{col 46}{space 3}0.254{col 54}{space 4}-.1702777{col 67}{space 3} .0450004
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   CFPS_meat{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}  .018191{col 26}{space 2} .0300795{col 37}{space 1}    0.60{col 46}{space 3}0.545{col 54}{space 4}-.0407638{col 67}{space 3} .0771458
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. **Figure S4-Legumes and nuts
. xthdidregress ra (CFPS_legumes    $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     7166
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      350
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     2125
{txt}{space 16}4 {c |}{col 19}{res}{space 3}     1167
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:10,808}
{txt}{col 54}{lalign 16:Number of panels}{col 70} = {res}{ralign 6:5,149}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0459204{col 26}{space 2} .0360406{col 37}{space 1}    1.27{col 46}{space 3}0.203{col 54}{space 4}-.0247179{col 67}{space 3} .1165586
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0220951{col 26}{space 2} .0582683{col 37}{space 1}    0.38{col 46}{space 3}0.705{col 54}{space 4}-.0921087{col 67}{space 3} .1362989
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0364438{col 26}{space 2} .0695206{col 37}{space 1}   -0.52{col 46}{space 3}0.600{col 54}{space 4}-.1727017{col 67}{space 3} .0998141
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}  .016948{col 26}{space 2} .0326037{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0469541{col 67}{space 3}   .08085
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0284991{col 26}{space 2} .0485583{col 37}{space 1}   -0.59{col 46}{space 3}0.557{col 54}{space 4}-.1236715{col 67}{space 3} .0666734
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0343857{col 26}{space 2} .0569679{col 37}{space 1}    0.60{col 46}{space 3}0.546{col 54}{space 4}-.0772693{col 67}{space 3} .1460407
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0112213{col 26}{space 2} .0360334{col 37}{space 1}    0.31{col 46}{space 3}0.755{col 54}{space 4}-.0594028{col 67}{space 3} .0818455
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0829654{col 26}{space 2} .0496915{col 37}{space 1}   -1.67{col 46}{space 3}0.095{col 54}{space 4}-.1803589{col 67}{space 3} .0144281
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0110309{col 26}{space 2} .0364038{col 37}{space 1}    0.30{col 46}{space 3}0.762{col 54}{space 4}-.0603193{col 67}{space 3} .0823811
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}CFPS_legumes{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .0017615{col 26}{space 2}  .028557{col 37}{space 1}    0.06{col 46}{space 3}0.951{col 54}{space 4}-.0542092{col 67}{space 3} .0577322
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. **Figure S4-Milk
. xthdidregress ra (CFPS_milk       $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     7166
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      350
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     2125
{txt}{space 16}4 {c |}{col 19}{res}{space 3}     1167
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:10,808}
{txt}{col 54}{lalign 16:Number of panels}{col 70} = {res}{ralign 6:5,149}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0028573{col 26}{space 2} .0114158{col 37}{space 1}   -0.25{col 46}{space 3}0.802{col 54}{space 4}-.0252319{col 67}{space 3} .0195172
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0303347{col 26}{space 2} .0174449{col 37}{space 1}    1.74{col 46}{space 3}0.082{col 54}{space 4}-.0038568{col 67}{space 3} .0645261
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0061108{col 26}{space 2} .0098683{col 37}{space 1}   -0.62{col 46}{space 3}0.536{col 54}{space 4}-.0254523{col 67}{space 3} .0132306
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0058591{col 26}{space 2} .0063175{col 37}{space 1}    0.93{col 46}{space 3}0.354{col 54}{space 4}-.0065231{col 67}{space 3} .0182412
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0099442{col 26}{space 2} .0068501{col 37}{space 1}   -1.45{col 46}{space 3}0.147{col 54}{space 4}-.0233702{col 67}{space 3} .0034818
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0058019{col 26}{space 2} .0106222{col 37}{space 1}    0.55{col 46}{space 3}0.585{col 54}{space 4}-.0150172{col 67}{space 3}  .026621
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0097533{col 26}{space 2} .0075727{col 37}{space 1}   -1.29{col 46}{space 3}0.198{col 54}{space 4}-.0245956{col 67}{space 3}  .005089
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0000277{col 26}{space 2} .0114387{col 37}{space 1}   -0.00{col 46}{space 3}0.998{col 54}{space 4}-.0224471{col 67}{space 3} .0223918
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0161628{col 26}{space 2} .0130529{col 37}{space 1}   -1.24{col 46}{space 3}0.216{col 54}{space 4}-.0417461{col 67}{space 3} .0094205
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,808}

{txt}{ralign 78:(Std. err. adjusted for {res:339} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   CFPS_milk{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-.0041384{col 26}{space 2} .0042445{col 37}{space 1}   -0.97{col 46}{space 3}0.330{col 54}{space 4}-.0124576{col 67}{space 3} .0041807
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. 
{txt}end of do-file

{com}. do "C:\Users\Jayson\AppData\Local\Temp\STD4320_000000.tmp"
{txt}
{com}. 
. **Table S9(1) BMI
. xthdidregress ra (BMI        $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1 & Anthropometric==1, group(idind) vce(cluster Commid_GENDER)  
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     6811
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      323
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1969
{txt}{space 16}4 {c |}{col 19}{res}{space 3}     1109
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:10,212}
{txt}{col 54}{lalign 16:Number of panels}{col 70} = {res}{ralign 6:4,938}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:337} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}  .068954{col 26}{space 2} .1512152{col 37}{space 1}    0.46{col 46}{space 3}0.648{col 54}{space 4}-.2274224{col 67}{space 3} .3653304
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0283095{col 26}{space 2} .2418738{col 37}{space 1}    0.12{col 46}{space 3}0.907{col 54}{space 4}-.4457544{col 67}{space 3} .5023734
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1160462{col 26}{space 2}  .364883{col 37}{space 1}    0.32{col 46}{space 3}0.750{col 54}{space 4}-.5991114{col 67}{space 3} .8312038
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0883177{col 26}{space 2}  .131388{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-.3458335{col 67}{space 3} .1691981
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0434123{col 26}{space 2} .1803852{col 37}{space 1}   -0.24{col 46}{space 3}0.810{col 54}{space 4}-.3969607{col 67}{space 3} .3101361
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .2524805{col 26}{space 2} .2445638{col 37}{space 1}    1.03{col 46}{space 3}0.302{col 54}{space 4}-.2268557{col 67}{space 3} .7318168
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}  .007933{col 26}{space 2} .1358629{col 37}{space 1}    0.06{col 46}{space 3}0.953{col 54}{space 4}-.2583534{col 67}{space 3} .2742195
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -.262786{col 26}{space 2} .2353718{col 37}{space 1}   -1.12{col 46}{space 3}0.264{col 54}{space 4}-.7241063{col 67}{space 3} .1985343
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0755169{col 26}{space 2} .1433975{col 37}{space 1}    0.53{col 46}{space 3}0.598{col 54}{space 4} -.205537{col 67}{space 3} .3565708
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,212}

{txt}{ralign 78:(Std. err. adjusted for {res:337} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}         BMI{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}  .069524{col 26}{space 2} .1177629{col 37}{space 1}    0.59{col 46}{space 3}0.555{col 54}{space 4} -.161287{col 67}{space 3}  .300335
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. **Table S9(1) Overweight
. xthdidregress ra (Overweight $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1 & Anthropometric==1, group(idind) vce(cluster Commid_GENDER)  
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     6811
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      323
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1969
{txt}{space 16}4 {c |}{col 19}{res}{space 3}     1109
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:10,212}
{txt}{col 54}{lalign 16:Number of panels}{col 70} = {res}{ralign 6:4,938}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:337} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0361257{col 26}{space 2} .0422584{col 37}{space 1}    0.85{col 46}{space 3}0.393{col 54}{space 4}-.0466992{col 67}{space 3} .1189505
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0510387{col 26}{space 2} .0443268{col 37}{space 1}   -1.15{col 46}{space 3}0.250{col 54}{space 4}-.1379175{col 67}{space 3} .0358402
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0769886{col 26}{space 2} .0727044{col 37}{space 1}    1.06{col 46}{space 3}0.290{col 54}{space 4}-.0655095{col 67}{space 3} .2194867
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0331011{col 26}{space 2}  .031305{col 37}{space 1}    1.06{col 46}{space 3}0.290{col 54}{space 4}-.0282556{col 67}{space 3} .0944579
{txt}{space 10}3  {c |}{col 14}{res}{space 2}  -.00998{col 26}{space 2} .0342572{col 37}{space 1}   -0.29{col 46}{space 3}0.771{col 54}{space 4}-.0771229{col 67}{space 3} .0571629
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0500752{col 26}{space 2} .0394488{col 37}{space 1}    1.27{col 46}{space 3}0.204{col 54}{space 4} -.027243{col 67}{space 3} .1273934
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0040459{col 26}{space 2}  .028196{col 37}{space 1}    0.14{col 46}{space 3}0.886{col 54}{space 4}-.0512171{col 67}{space 3}  .059309
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0075603{col 26}{space 2} .0476349{col 37}{space 1}    0.16{col 46}{space 3}0.874{col 54}{space 4}-.0858025{col 67}{space 3}  .100923
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0134025{col 26}{space 2} .0285004{col 37}{space 1}    0.47{col 46}{space 3}0.638{col 54}{space 4}-.0424574{col 67}{space 3} .0692623
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,212}

{txt}{ralign 78:(Std. err. adjusted for {res:337} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  Overweight{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .0144824{col 26}{space 2} .0221847{col 37}{space 1}    0.65{col 46}{space 3}0.514{col 54}{space 4}-.0289988{col 67}{space 3} .0579636
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. **Table S9(1) Obesity
. xthdidregress ra (Obesity    $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1 & Anthropometric==1, group(idind) vce(cluster Commid_GENDER)  
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     6811
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      323
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1969
{txt}{space 16}4 {c |}{col 19}{res}{space 3}     1109
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:10,212}
{txt}{col 54}{lalign 16:Number of panels}{col 70} = {res}{ralign 6:4,938}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:337} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0147733{col 26}{space 2}  .015596{col 37}{space 1}    0.95{col 46}{space 3}0.344{col 54}{space 4}-.0157942{col 67}{space 3} .0453408
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0074829{col 26}{space 2} .0264845{col 37}{space 1}   -0.28{col 46}{space 3}0.778{col 54}{space 4}-.0593915{col 67}{space 3} .0444258
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0103749{col 26}{space 2} .0156113{col 37}{space 1}    0.66{col 46}{space 3}0.506{col 54}{space 4}-.0202226{col 67}{space 3} .0409725
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0063702{col 26}{space 2} .0100902{col 37}{space 1}   -0.63{col 46}{space 3}0.528{col 54}{space 4}-.0261465{col 67}{space 3} .0134061
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0110535{col 26}{space 2} .0113509{col 37}{space 1}   -0.97{col 46}{space 3}0.330{col 54}{space 4}-.0333007{col 67}{space 3} .0111938
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0061571{col 26}{space 2} .0169215{col 37}{space 1}   -0.36{col 46}{space 3}0.716{col 54}{space 4}-.0393227{col 67}{space 3} .0270085
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0049353{col 26}{space 2} .0132254{col 37}{space 1}    0.37{col 46}{space 3}0.709{col 54}{space 4} -.020986{col 67}{space 3} .0308566
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0418984{col 26}{space 2} .0211988{col 37}{space 1}   -1.98{col 46}{space 3}0.048{col 54}{space 4}-.0834473{col 67}{space 3}-.0003494
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0206175{col 26}{space 2} .0188903{col 37}{space 1}    1.09{col 46}{space 3}0.275{col 54}{space 4}-.0164067{col 67}{space 3} .0576418
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:10,212}

{txt}{ralign 78:(Std. err. adjusted for {res:337} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     Obesity{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-.0011207{col 26}{space 2} .0087164{col 37}{space 1}   -0.13{col 46}{space 3}0.898{col 54}{space 4}-.0182045{col 67}{space 3} .0159631
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. 
{txt}end of do-file

{com}. do "C:\Users\Jayson\AppData\Local\Temp\STD4320_000000.tmp"
{txt}
{com}. 
. **Table S9(2) BMI
. xthdidregress ra (BMI        $controls3 i.wave#i.t1) (SM) if Sample2==1 & GENDER==2 & alwaystreated!=1 & Anthropometric==1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3743
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      209
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1197
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      674
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:5,823}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,669}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .2354621{col 26}{space 2} .2158499{col 37}{space 1}    1.09{col 46}{space 3}0.275{col 54}{space 4}-.1875959{col 67}{space 3} .6585201
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .2104949{col 26}{space 2} .3136556{col 37}{space 1}    0.67{col 46}{space 3}0.502{col 54}{space 4}-.4042587{col 67}{space 3} .8252486
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  .282194{col 26}{space 2} .3753572{col 37}{space 1}    0.75{col 46}{space 3}0.452{col 54}{space 4}-.4534927{col 67}{space 3} 1.017881
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0352927{col 26}{space 2} .2066616{col 37}{space 1}    0.17{col 46}{space 3}0.864{col 54}{space 4}-.3697566{col 67}{space 3} .4403421
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1475883{col 26}{space 2} .2023109{col 37}{space 1}   -0.73{col 46}{space 3}0.466{col 54}{space 4}-.5441104{col 67}{space 3} .2489338
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0625805{col 26}{space 2} .2636881{col 37}{space 1}   -0.24{col 46}{space 3}0.812{col 54}{space 4}-.5793996{col 67}{space 3} .4542385
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0195596{col 26}{space 2} .1942104{col 37}{space 1}   -0.10{col 46}{space 3}0.920{col 54}{space 4}-.4002049{col 67}{space 3} .3610857
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.3377724{col 26}{space 2} .3488126{col 37}{space 1}   -0.97{col 46}{space 3}0.333{col 54}{space 4}-1.021433{col 67}{space 3} .3458877
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0803022{col 26}{space 2} .1917624{col 37}{space 1}    0.42{col 46}{space 3}0.675{col 54}{space 4}-.2955453{col 67}{space 3} .4561497
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,823}

{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}         BMI{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-.0127595{col 26}{space 2} .1319676{col 37}{space 1}   -0.10{col 46}{space 3}0.923{col 54}{space 4}-.2714112{col 67}{space 3} .2458922
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Table S9(2) Overweight
. xthdidregress ra (Overweight $controls3 i.wave#i.t1) (SM) if Sample2==1 & GENDER==2 & alwaystreated!=1 & Anthropometric==1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3743
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      209
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1197
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      674
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:5,823}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,669}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0989196{col 26}{space 2} .0580313{col 37}{space 1}    1.70{col 46}{space 3}0.088{col 54}{space 4}-.0148197{col 67}{space 3} .2126588
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0100687{col 26}{space 2} .0536072{col 37}{space 1}   -0.19{col 46}{space 3}0.851{col 54}{space 4}-.1151368{col 67}{space 3} .0949994
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1197813{col 26}{space 2} .0903292{col 37}{space 1}    1.33{col 46}{space 3}0.185{col 54}{space 4}-.0572606{col 67}{space 3} .2968233
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0633057{col 26}{space 2} .0554563{col 37}{space 1}    1.14{col 46}{space 3}0.254{col 54}{space 4}-.0453867{col 67}{space 3} .1719981
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0251918{col 26}{space 2} .0460212{col 37}{space 1}   -0.55{col 46}{space 3}0.584{col 54}{space 4}-.1153918{col 67}{space 3} .0650081
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0078994{col 26}{space 2} .0472237{col 37}{space 1}   -0.17{col 46}{space 3}0.867{col 54}{space 4}-.1004561{col 67}{space 3} .0846574
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0331086{col 26}{space 2}  .038668{col 37}{space 1}   -0.86{col 46}{space 3}0.392{col 54}{space 4}-.1088965{col 67}{space 3} .0426794
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0193862{col 26}{space 2} .0559462{col 37}{space 1}    0.35{col 46}{space 3}0.729{col 54}{space 4}-.0902662{col 67}{space 3} .1290387
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0358625{col 26}{space 2} .0350693{col 37}{space 1}   -1.02{col 46}{space 3}0.306{col 54}{space 4}-.1045971{col 67}{space 3}  .032872
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,823}

{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  Overweight{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-.0037537{col 26}{space 2} .0288357{col 37}{space 1}   -0.13{col 46}{space 3}0.896{col 54}{space 4}-.0602706{col 67}{space 3} .0527632
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Table S9(2) Obesity
. xthdidregress ra (Obesity    $controls3 i.wave#i.t1) (SM) if Sample2==1 & GENDER==2 & alwaystreated!=1 & Anthropometric==1, group(idind) vce(cluster Commid_GENDER) 
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3743
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      209
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1197
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      674
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:5,823}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,669}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0383311{col 26}{space 2}  .024928{col 37}{space 1}    1.54{col 46}{space 3}0.124{col 54}{space 4}-.0105268{col 67}{space 3}  .087189
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0012021{col 26}{space 2} .0364195{col 37}{space 1}    0.03{col 46}{space 3}0.974{col 54}{space 4}-.0701789{col 67}{space 3} .0725831
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0172804{col 26}{space 2} .0263534{col 37}{space 1}    0.66{col 46}{space 3}0.512{col 54}{space 4}-.0343714{col 67}{space 3} .0689321
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0057322{col 26}{space 2} .0160804{col 37}{space 1}    0.36{col 46}{space 3}0.721{col 54}{space 4}-.0257848{col 67}{space 3} .0372492
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0075398{col 26}{space 2} .0170269{col 37}{space 1}   -0.44{col 46}{space 3}0.658{col 54}{space 4} -.040912{col 67}{space 3} .0258324
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0137398{col 26}{space 2} .0233904{col 37}{space 1}   -0.59{col 46}{space 3}0.557{col 54}{space 4}-.0595842{col 67}{space 3} .0321045
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0005608{col 26}{space 2} .0138395{col 37}{space 1}   -0.04{col 46}{space 3}0.968{col 54}{space 4}-.0276858{col 67}{space 3} .0265642
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0604856{col 26}{space 2} .0284934{col 37}{space 1}   -2.12{col 46}{space 3}0.034{col 54}{space 4}-.1163317{col 67}{space 3}-.0046394
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0300649{col 26}{space 2}  .020753{col 37}{space 1}    1.45{col 46}{space 3}0.147{col 54}{space 4}-.0106101{col 67}{space 3}   .07074
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,823}

{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     Obesity{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}  .002717{col 26}{space 2} .0128132{col 37}{space 1}    0.21{col 46}{space 3}0.832{col 54}{space 4}-.0223964{col 67}{space 3} .0278303
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. 
{txt}end of do-file

{com}. do "C:\Users\Jayson\AppData\Local\Temp\STD4320_000000.tmp"
{txt}
{com}. 
. **Table S9(3) BMI
. xthdidregress ra (BMI        $controls3 i.wave#i.t1) (SM) if Sample2==1 & GENDER==1 & alwaystreated!=1 & Anthropometric==1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3068
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      114
{txt}{space 16}3 {c |}{col 19}{res}{space 3}      772
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      435
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:4,389}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,269}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:168} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0903293{col 26}{space 2} .2182757{col 37}{space 1}   -0.41{col 46}{space 3}0.679{col 54}{space 4}-.5181419{col 67}{space 3} .3374833
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1559663{col 26}{space 2} .3824422{col 37}{space 1}   -0.41{col 46}{space 3}0.683{col 54}{space 4}-.9055393{col 67}{space 3} .5936066
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1891426{col 26}{space 2} .6538001{col 37}{space 1}   -0.29{col 46}{space 3}0.772{col 54}{space 4}-1.470567{col 67}{space 3} 1.092282
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.1841297{col 26}{space 2} .1536411{col 37}{space 1}   -1.20{col 46}{space 3}0.231{col 54}{space 4}-.4852607{col 67}{space 3} .1170012
{txt}{space 10}3  {c |}{col 14}{res}{space 2}  .167209{col 26}{space 2}  .342226{col 37}{space 1}    0.49{col 46}{space 3}0.625{col 54}{space 4}-.5035416{col 67}{space 3} .8379597
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .6536609{col 26}{space 2} .3369269{col 37}{space 1}    1.94{col 46}{space 3}0.052{col 54}{space 4}-.0067037{col 67}{space 3} 1.314026
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0150359{col 26}{space 2} .2016683{col 37}{space 1}    0.07{col 46}{space 3}0.941{col 54}{space 4}-.3802267{col 67}{space 3} .4102985
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0192309{col 26}{space 2} .3762294{col 37}{space 1}    0.05{col 46}{space 3}0.959{col 54}{space 4}-.7181652{col 67}{space 3}  .756627
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0871629{col 26}{space 2} .2035865{col 37}{space 1}    0.43{col 46}{space 3}0.669{col 54}{space 4}-.3118594{col 67}{space 3} .4861852
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:4,389}

{txt}{ralign 78:(Std. err. adjusted for {res:168} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}         BMI{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .2100757{col 26}{space 2} .2022022{col 37}{space 1}    1.04{col 46}{space 3}0.299{col 54}{space 4}-.1862333{col 67}{space 3} .6063848
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Table S9(3) Overweight
. xthdidregress ra (Overweight $controls3 i.wave#i.t1) (SM) if Sample2==1 & GENDER==1 & alwaystreated!=1 & Anthropometric==1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3068
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      114
{txt}{space 16}3 {c |}{col 19}{res}{space 3}      772
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      435
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:4,389}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,269}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:168} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0391674{col 26}{space 2} .0780709{col 37}{space 1}   -0.50{col 46}{space 3}0.616{col 54}{space 4}-.1921837{col 67}{space 3} .1138488
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1134593{col 26}{space 2} .1149192{col 37}{space 1}   -0.99{col 46}{space 3}0.323{col 54}{space 4}-.3386968{col 67}{space 3} .1117782
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0369573{col 26}{space 2} .1266915{col 37}{space 1}   -0.29{col 46}{space 3}0.771{col 54}{space 4} -.285268{col 67}{space 3} .2113535
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0144957{col 26}{space 2} .0394949{col 37}{space 1}    0.37{col 46}{space 3}0.714{col 54}{space 4} -.062913{col 67}{space 3} .0919043
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0108944{col 26}{space 2} .0495848{col 37}{space 1}    0.22{col 46}{space 3}0.826{col 54}{space 4}-.0862901{col 67}{space 3} .1080789
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1437395{col 26}{space 2}  .065728{col 37}{space 1}    2.19{col 46}{space 3}0.029{col 54}{space 4} .0149149{col 67}{space 3}  .272564
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}  .077788{col 26}{space 2} .0408149{col 37}{space 1}    1.91{col 46}{space 3}0.057{col 54}{space 4}-.0022079{col 67}{space 3} .1577838
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0228121{col 26}{space 2} .0862676{col 37}{space 1}    0.26{col 46}{space 3}0.791{col 54}{space 4}-.1462692{col 67}{space 3} .1918934
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0914034{col 26}{space 2} .0434575{col 37}{space 1}    2.10{col 46}{space 3}0.035{col 54}{space 4} .0062282{col 67}{space 3} .1765786
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:4,389}

{txt}{ralign 78:(Std. err. adjusted for {res:168} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  Overweight{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .0423767{col 26}{space 2} .0362878{col 37}{space 1}    1.17{col 46}{space 3}0.243{col 54}{space 4}-.0287462{col 67}{space 3} .1134995
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Table S9(3) Obesity
. xthdidregress ra (Obesity    $controls3 i.wave#i.t1) (SM) if Sample2==1 & GENDER==1 & alwaystreated!=1 & Anthropometric==1, group(idind) vce(cluster Commid_GENDER) 
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3068
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      114
{txt}{space 16}3 {c |}{col 19}{res}{space 3}      772
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      435
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:4,389}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,269}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:168} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0197109{col 26}{space 2} .0176292{col 37}{space 1}   -1.12{col 46}{space 3}0.264{col 54}{space 4}-.0542635{col 67}{space 3} .0148417
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0242624{col 26}{space 2} .0294049{col 37}{space 1}   -0.83{col 46}{space 3}0.409{col 54}{space 4}-.0818949{col 67}{space 3} .0333702
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0071464{col 26}{space 2} .0159793{col 37}{space 1}   -0.45{col 46}{space 3}0.655{col 54}{space 4}-.0384653{col 67}{space 3} .0241724
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0208587{col 26}{space 2} .0153152{col 37}{space 1}   -1.36{col 46}{space 3}0.173{col 54}{space 4} -.050876{col 67}{space 3} .0091587
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0124091{col 26}{space 2} .0120544{col 37}{space 1}   -1.03{col 46}{space 3}0.303{col 54}{space 4}-.0360352{col 67}{space 3}  .011217
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0059043{col 26}{space 2} .0200994{col 37}{space 1}    0.29{col 46}{space 3}0.769{col 54}{space 4}-.0334897{col 67}{space 3} .0452984
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0134198{col 26}{space 2}  .023564{col 37}{space 1}    0.57{col 46}{space 3}0.569{col 54}{space 4}-.0327647{col 67}{space 3} .0596043
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0123832{col 26}{space 2} .0299334{col 37}{space 1}   -0.41{col 46}{space 3}0.679{col 54}{space 4}-.0710516{col 67}{space 3} .0462851
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0034042{col 26}{space 2} .0389929{col 37}{space 1}    0.09{col 46}{space 3}0.930{col 54}{space 4}-.0730205{col 67}{space 3} .0798289
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:4,389}

{txt}{ralign 78:(Std. err. adjusted for {res:168} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     Obesity{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-.0064766{col 26}{space 2} .0102574{col 37}{space 1}   -0.63{col 46}{space 3}0.528{col 54}{space 4}-.0265808{col 67}{space 3} .0136276
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
{txt}end of do-file

{com}. do "C:\Users\Jayson\AppData\Local\Temp\STD4320_000000.tmp"
{txt}
{com}. 
. **Table S9(4) BMI
. xthdidregress ra (BMI        $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1 & HHhighincome==0 & Anthropometric==1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3765
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      172
{txt}{space 16}3 {c |}{col 19}{res}{space 3}      722
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      433
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:5,092}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,741}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:326} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .4232217{col 26}{space 2} .2567301{col 37}{space 1}    1.65{col 46}{space 3}0.099{col 54}{space 4}-.0799601{col 67}{space 3} .9264035
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .9891956{col 26}{space 2} .5905706{col 37}{space 1}    1.67{col 46}{space 3}0.094{col 54}{space 4}-.1683015{col 67}{space 3} 2.146693
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  .320363{col 26}{space 2} .4568545{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-.5750553{col 67}{space 3} 1.215781
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0184026{col 26}{space 2} .1877142{col 37}{space 1}   -0.10{col 46}{space 3}0.922{col 54}{space 4}-.3863157{col 67}{space 3} .3495105
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0201489{col 26}{space 2} .2735831{col 37}{space 1}    0.07{col 46}{space 3}0.941{col 54}{space 4} -.516064{col 67}{space 3} .5563619
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .2841856{col 26}{space 2} .3571267{col 37}{space 1}    0.80{col 46}{space 3}0.426{col 54}{space 4}-.4157698{col 67}{space 3}  .984141
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.1961665{col 26}{space 2} .2988101{col 37}{space 1}   -0.66{col 46}{space 3}0.512{col 54}{space 4}-.7818235{col 67}{space 3} .3894904
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1072734{col 26}{space 2} .4746606{col 37}{space 1}   -0.23{col 46}{space 3}0.821{col 54}{space 4}-1.037591{col 67}{space 3} .8230444
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1744886{col 26}{space 2} .2381628{col 37}{space 1}    0.73{col 46}{space 3}0.464{col 54}{space 4} -.292302{col 67}{space 3} .6412792
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,092}

{txt}{ralign 78:(Std. err. adjusted for {res:326} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}         BMI{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .2386431{col 26}{space 2} .1754461{col 37}{space 1}    1.36{col 46}{space 3}0.174{col 54}{space 4}-.1052248{col 67}{space 3} .5825111
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. **Table S9(4) Overweight
. xthdidregress ra (Overweight $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1 & HHhighincome==0 & Anthropometric==1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3765
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      172
{txt}{space 16}3 {c |}{col 19}{res}{space 3}      722
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      433
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:5,092}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,741}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:326} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0917249{col 26}{space 2} .0553774{col 37}{space 1}    1.66{col 46}{space 3}0.098{col 54}{space 4}-.0168128{col 67}{space 3} .2002626
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0001807{col 26}{space 2} .0684505{col 37}{space 1}    0.00{col 46}{space 3}0.998{col 54}{space 4}-.1339798{col 67}{space 3} .1343412
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0897998{col 26}{space 2} .0926102{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0917128{col 67}{space 3} .2713123
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0303308{col 26}{space 2} .0534156{col 37}{space 1}    0.57{col 46}{space 3}0.570{col 54}{space 4}-.0743619{col 67}{space 3} .1350236
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0052294{col 26}{space 2} .0536271{col 37}{space 1}    0.10{col 46}{space 3}0.922{col 54}{space 4}-.0998778{col 67}{space 3} .1103366
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0276135{col 26}{space 2} .0613888{col 37}{space 1}    0.45{col 46}{space 3}0.653{col 54}{space 4}-.0927064{col 67}{space 3} .1479334
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0498551{col 26}{space 2} .0599989{col 37}{space 1}   -0.83{col 46}{space 3}0.406{col 54}{space 4}-.1674508{col 67}{space 3} .0677406
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0987852{col 26}{space 2} .0832289{col 37}{space 1}    1.19{col 46}{space 3}0.235{col 54}{space 4}-.0643405{col 67}{space 3} .2619109
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0115023{col 26}{space 2} .0487565{col 37}{space 1}   -0.24{col 46}{space 3}0.813{col 54}{space 4}-.1070634{col 67}{space 3} .0840587
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,092}

{txt}{ralign 78:(Std. err. adjusted for {res:326} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  Overweight{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .0221024{col 26}{space 2} .0330062{col 37}{space 1}    0.67{col 46}{space 3}0.503{col 54}{space 4}-.0425886{col 67}{space 3} .0867933
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. **Table S9(4) Obesity
. xthdidregress ra (Obesity    $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1 & HHhighincome==0 & Anthropometric==1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3765
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      172
{txt}{space 16}3 {c |}{col 19}{res}{space 3}      722
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      433
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:5,092}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,741}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:326} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0254153{col 26}{space 2} .0221644{col 37}{space 1}    1.15{col 46}{space 3}0.252{col 54}{space 4}-.0180261{col 67}{space 3} .0688568
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0062527{col 26}{space 2} .0384796{col 37}{space 1}    0.16{col 46}{space 3}0.871{col 54}{space 4}-.0691661{col 67}{space 3} .0816714
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0143097{col 26}{space 2} .0242324{col 37}{space 1}    0.59{col 46}{space 3}0.555{col 54}{space 4}-.0331849{col 67}{space 3} .0618043
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0056081{col 26}{space 2} .0175549{col 37}{space 1}    0.32{col 46}{space 3}0.749{col 54}{space 4}-.0287988{col 67}{space 3} .0400149
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0178426{col 26}{space 2} .0183123{col 37}{space 1}   -0.97{col 46}{space 3}0.330{col 54}{space 4} -.053734{col 67}{space 3} .0180487
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0040989{col 26}{space 2} .0221227{col 37}{space 1}   -0.19{col 46}{space 3}0.853{col 54}{space 4}-.0474585{col 67}{space 3} .0392608
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0197754{col 26}{space 2} .0229856{col 37}{space 1}    0.86{col 46}{space 3}0.390{col 54}{space 4}-.0252755{col 67}{space 3} .0648263
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0870841{col 26}{space 2} .0332381{col 37}{space 1}   -2.62{col 46}{space 3}0.009{col 54}{space 4}-.1522295{col 67}{space 3}-.0219387
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0555718{col 26}{space 2} .0298534{col 37}{space 1}    1.86{col 46}{space 3}0.063{col 54}{space 4}-.0029399{col 67}{space 3} .1140834
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,092}

{txt}{ralign 78:(Std. err. adjusted for {res:326} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     Obesity{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .0054647{col 26}{space 2} .0124369{col 37}{space 1}    0.44{col 46}{space 3}0.660{col 54}{space 4}-.0189112{col 67}{space 3} .0298406
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
{txt}end of do-file

{com}. do "C:\Users\Jayson\AppData\Local\Temp\STD4320_000000.tmp"
{txt}
{com}. 
. 
. **Table S9(5) BMI
. xthdidregress ra (BMI        $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1 & HHhighincome==1 & Anthropometric==1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3046
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      151
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1247
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      676
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:5,120}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,197}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:313} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.2246847{col 26}{space 2} .2605855{col 37}{space 1}   -0.86{col 46}{space 3}0.389{col 54}{space 4}-.7354228{col 67}{space 3} .2860534
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.7832288{col 26}{space 2} .3591005{col 37}{space 1}   -2.18{col 46}{space 3}0.029{col 54}{space 4}-1.487053{col 67}{space 3}-.0794047
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.3549451{col 26}{space 2} .6090433{col 37}{space 1}   -0.58{col 46}{space 3}0.560{col 54}{space 4}-1.548648{col 67}{space 3} .8387579
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.2224887{col 26}{space 2} .1593661{col 37}{space 1}   -1.40{col 46}{space 3}0.163{col 54}{space 4}-.5348404{col 67}{space 3} .0898631
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1426168{col 26}{space 2} .2700371{col 37}{space 1}   -0.53{col 46}{space 3}0.597{col 54}{space 4}-.6718798{col 67}{space 3} .3866461
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1278805{col 26}{space 2} .4037407{col 37}{space 1}    0.32{col 46}{space 3}0.751{col 54}{space 4}-.6634367{col 67}{space 3} .9191978
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0633033{col 26}{space 2} .1717527{col 37}{space 1}    0.37{col 46}{space 3}0.712{col 54}{space 4}-.2733259{col 67}{space 3} .3999324
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2604315{col 26}{space 2} .2392037{col 37}{space 1}   -1.09{col 46}{space 3}0.276{col 54}{space 4}-.7292622{col 67}{space 3} .2083992
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0074844{col 26}{space 2} .1774849{col 37}{space 1}    0.04{col 46}{space 3}0.966{col 54}{space 4}-.3403797{col 67}{space 3} .3553484
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,120}

{txt}{ralign 78:(Std. err. adjusted for {res:313} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}         BMI{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-.0836846{col 26}{space 2} .2065487{col 37}{space 1}   -0.41{col 46}{space 3}0.685{col 54}{space 4}-.4885126{col 67}{space 3} .3211433
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. **Table S9(5) Overweight
. xthdidregress ra (Overweight $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1 & HHhighincome==1 & Anthropometric==1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3046
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      151
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1247
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      676
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:5,120}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,197}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:313} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0070825{col 26}{space 2} .0575608{col 37}{space 1}   -0.12{col 46}{space 3}0.902{col 54}{space 4}-.1198997{col 67}{space 3} .1057346
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1407709{col 26}{space 2} .0697844{col 37}{space 1}   -2.02{col 46}{space 3}0.044{col 54}{space 4}-.2775458{col 67}{space 3}-.0039961
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0365776{col 26}{space 2} .1002345{col 37}{space 1}    0.36{col 46}{space 3}0.715{col 54}{space 4}-.1598784{col 67}{space 3} .2330335
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0301723{col 26}{space 2} .0317824{col 37}{space 1}    0.95{col 46}{space 3}0.342{col 54}{space 4}  -.03212{col 67}{space 3} .0924647
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0547622{col 26}{space 2} .0433682{col 37}{space 1}   -1.26{col 46}{space 3}0.207{col 54}{space 4}-.1397623{col 67}{space 3} .0302378
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0687056{col 26}{space 2}  .048538{col 37}{space 1}    1.42{col 46}{space 3}0.157{col 54}{space 4}-.0264272{col 67}{space 3} .1638384
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0254275{col 26}{space 2} .0316002{col 37}{space 1}    0.80{col 46}{space 3}0.421{col 54}{space 4}-.0365077{col 67}{space 3} .0873627
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0299995{col 26}{space 2} .0498449{col 37}{space 1}   -0.60{col 46}{space 3}0.547{col 54}{space 4}-.1276936{col 67}{space 3} .0676947
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  .025792{col 26}{space 2} .0408402{col 37}{space 1}    0.63{col 46}{space 3}0.528{col 54}{space 4}-.0542533{col 67}{space 3} .1058373
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,120}

{txt}{ralign 78:(Std. err. adjusted for {res:313} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  Overweight{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-.0044579{col 26}{space 2} .0283134{col 37}{space 1}   -0.16{col 46}{space 3}0.875{col 54}{space 4}-.0599511{col 67}{space 3} .0510354
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. **Table S9(5) Obesity
. xthdidregress ra (Obesity    $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1 & HHhighincome==1 & Anthropometric==1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3046
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      151
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1247
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      676
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:5,120}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,197}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:313} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0040747{col 26}{space 2} .0218072{col 37}{space 1}    0.19{col 46}{space 3}0.852{col 54}{space 4}-.0386665{col 67}{space 3}  .046816
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0157474{col 26}{space 2} .0227872{col 37}{space 1}   -0.69{col 46}{space 3}0.490{col 54}{space 4}-.0604094{col 67}{space 3} .0289146
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0007734{col 26}{space 2}   .01744{col 37}{space 1}    0.04{col 46}{space 3}0.965{col 54}{space 4}-.0334083{col 67}{space 3} .0349551
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0095838{col 26}{space 2}  .013145{col 37}{space 1}   -0.73{col 46}{space 3}0.466{col 54}{space 4}-.0353475{col 67}{space 3} .0161798
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0133019{col 26}{space 2}  .013816{col 37}{space 1}   -0.96{col 46}{space 3}0.336{col 54}{space 4}-.0403808{col 67}{space 3}  .013777
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0194338{col 26}{space 2} .0275457{col 37}{space 1}   -0.71{col 46}{space 3}0.480{col 54}{space 4}-.0734224{col 67}{space 3} .0345548
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} -.013284{col 26}{space 2} .0188464{col 37}{space 1}   -0.70{col 46}{space 3}0.481{col 54}{space 4}-.0502222{col 67}{space 3} .0236542
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0271105{col 26}{space 2} .0241309{col 37}{space 1}   -1.12{col 46}{space 3}0.261{col 54}{space 4}-.0744063{col 67}{space 3} .0201853
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0025163{col 26}{space 2} .0232813{col 37}{space 1}    0.11{col 46}{space 3}0.914{col 54}{space 4}-.0431142{col 67}{space 3} .0481468
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,120}

{txt}{ralign 78:(Std. err. adjusted for {res:313} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     Obesity{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-.0106247{col 26}{space 2}  .011539{col 37}{space 1}   -0.92{col 46}{space 3}0.357{col 54}{space 4}-.0332407{col 67}{space 3} .0119913
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
{txt}end of do-file

{com}. do "C:\Users\Jayson\AppData\Local\Temp\STD4320_000000.tmp"
{txt}
{com}. 
. **Table S9(6) BMI
. xthdidregress ra (BMI        $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1 & adequateEnergy==0 & Anthropometric==1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     2398
{txt}{space 16}2 {c |}{col 19}{res}{space 3}       69
{txt}{space 16}3 {c |}{col 19}{res}{space 3}      398
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      361
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:3,226}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:1,782}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:290} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .2147969{col 26}{space 2}  .418384{col 37}{space 1}    0.51{col 46}{space 3}0.608{col 54}{space 4}-.6052207{col 67}{space 3} 1.034815
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .8908757{col 26}{space 2} 1.340548{col 37}{space 1}    0.66{col 46}{space 3}0.506{col 54}{space 4}-1.736551{col 67}{space 3} 3.518302
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .5113717{col 26}{space 2} 1.307084{col 37}{space 1}    0.39{col 46}{space 3}0.696{col 54}{space 4}-2.050467{col 67}{space 3}  3.07321
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.2153875{col 26}{space 2} .2892918{col 37}{space 1}   -0.74{col 46}{space 3}0.457{col 54}{space 4}-.7823891{col 67}{space 3}  .351614
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2878228{col 26}{space 2} .6782645{col 37}{space 1}   -0.42{col 46}{space 3}0.671{col 54}{space 4}-1.617197{col 67}{space 3} 1.041551
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .4787286{col 26}{space 2}  .713467{col 37}{space 1}    0.67{col 46}{space 3}0.502{col 54}{space 4} -.919641{col 67}{space 3} 1.877098
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} -.077996{col 26}{space 2} .3026293{col 37}{space 1}   -0.26{col 46}{space 3}0.797{col 54}{space 4}-.6711386{col 67}{space 3} .5151466
{txt}{space 10}3  {c |}{col 14}{res}{space 2}  .488828{col 26}{space 2} .4169189{col 37}{space 1}    1.17{col 46}{space 3}0.241{col 54}{space 4}-.3283179{col 67}{space 3} 1.305974
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .2713734{col 26}{space 2} .2298916{col 37}{space 1}    1.18{col 46}{space 3}0.238{col 54}{space 4}-.1792058{col 67}{space 3} .7219526
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,226}

{txt}{ralign 78:(Std. err. adjusted for {res:290} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}         BMI{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .1487277{col 26}{space 2} .3613292{col 37}{space 1}    0.41{col 46}{space 3}0.681{col 54}{space 4}-.5594645{col 67}{space 3}   .85692
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Table S9(6) Overweight
. xthdidregress ra (Overweight $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1 & adequateEnergy==0 & Anthropometric==1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     2398
{txt}{space 16}2 {c |}{col 19}{res}{space 3}       69
{txt}{space 16}3 {c |}{col 19}{res}{space 3}      398
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      361
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:3,226}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:1,782}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:290} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0528341{col 26}{space 2} .0691359{col 37}{space 1}    0.76{col 46}{space 3}0.445{col 54}{space 4}-.0826697{col 67}{space 3} .1883379
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .1762612{col 26}{space 2} .1387495{col 37}{space 1}    1.27{col 46}{space 3}0.204{col 54}{space 4}-.0956828{col 67}{space 3} .4482051
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .2042799{col 26}{space 2} .1801755{col 37}{space 1}    1.13{col 46}{space 3}0.257{col 54}{space 4}-.1488577{col 67}{space 3} .5574174
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0361407{col 26}{space 2} .0613179{col 37}{space 1}   -0.59{col 46}{space 3}0.556{col 54}{space 4}-.1563215{col 67}{space 3}   .08404
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0222429{col 26}{space 2} .1519022{col 37}{space 1}   -0.15{col 46}{space 3}0.884{col 54}{space 4}-.3199658{col 67}{space 3}   .27548
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1129674{col 26}{space 2} .1668426{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.2140381{col 67}{space 3} .4399728
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.1005909{col 26}{space 2} .0487179{col 37}{space 1}   -2.06{col 46}{space 3}0.039{col 54}{space 4}-.1960762{col 67}{space 3}-.0051056
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .1492622{col 26}{space 2} .0917178{col 37}{space 1}    1.63{col 46}{space 3}0.104{col 54}{space 4}-.0305013{col 67}{space 3} .3290257
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0197495{col 26}{space 2} .0606889{col 37}{space 1}    0.33{col 46}{space 3}0.745{col 54}{space 4}-.0991985{col 67}{space 3} .1386975
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,226}

{txt}{ralign 78:(Std. err. adjusted for {res:290} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  Overweight{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .0425952{col 26}{space 2} .0738309{col 37}{space 1}    0.58{col 46}{space 3}0.564{col 54}{space 4}-.1021107{col 67}{space 3} .1873011
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Table S9(6) Obesity
. xthdidregress ra (Obesity    $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1 & adequateEnergy==0 & Anthropometric==1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     2398
{txt}{space 16}2 {c |}{col 19}{res}{space 3}       69
{txt}{space 16}3 {c |}{col 19}{res}{space 3}      398
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      361
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:3,226}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:1,782}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:290} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0000327{col 26}{space 2} .0148222{col 37}{space 1}   -0.00{col 46}{space 3}0.998{col 54}{space 4}-.0290837{col 67}{space 3} .0290184
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0739166{col 26}{space 2} .0465943{col 37}{space 1}   -1.59{col 46}{space 3}0.113{col 54}{space 4}-.1652397{col 67}{space 3} .0174065
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0156841{col 26}{space 2} .0349046{col 37}{space 1}   -0.45{col 46}{space 3}0.653{col 54}{space 4}-.0840959{col 67}{space 3} .0527277
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}  .031943{col 26}{space 2} .0267724{col 37}{space 1}    1.19{col 46}{space 3}0.233{col 54}{space 4}-.0205299{col 67}{space 3}  .084416
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0396576{col 26}{space 2} .0823773{col 37}{space 1}   -0.48{col 46}{space 3}0.630{col 54}{space 4}-.2011142{col 67}{space 3} .1217991
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0156267{col 26}{space 2}  .075459{col 37}{space 1}   -0.21{col 46}{space 3}0.836{col 54}{space 4}-.1635237{col 67}{space 3} .1322703
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0407795{col 26}{space 2} .0355545{col 37}{space 1}    1.15{col 46}{space 3}0.251{col 54}{space 4}-.0289061{col 67}{space 3} .1104651
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0222057{col 26}{space 2} .0496986{col 37}{space 1}   -0.45{col 46}{space 3}0.655{col 54}{space 4}-.1196132{col 67}{space 3} .0752018
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0460258{col 26}{space 2} .0248055{col 37}{space 1}    1.86{col 46}{space 3}0.064{col 54}{space 4}-.0025921{col 67}{space 3} .0946437
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,226}

{txt}{ralign 78:(Std. err. adjusted for {res:290} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     Obesity{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-.0080025{col 26}{space 2} .0391633{col 37}{space 1}   -0.20{col 46}{space 3}0.838{col 54}{space 4}-.0847611{col 67}{space 3} .0687561
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
{txt}end of do-file

{com}. do "C:\Users\Jayson\AppData\Local\Temp\STD4320_000000.tmp"
{txt}
{com}. 
. **Table S9(7) BMI
. xthdidregress ra (BMI        $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1 & adequateEnergy==1 & Anthropometric==1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     4413
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      254
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1571
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      748
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:6,986}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:3,156}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:321} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0154201{col 26}{space 2} .2007449{col 37}{space 1}   -0.08{col 46}{space 3}0.939{col 54}{space 4} -.408873{col 67}{space 3} .3780327
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1823085{col 26}{space 2} .3556056{col 37}{space 1}   -0.51{col 46}{space 3}0.608{col 54}{space 4}-.8792827{col 67}{space 3} .5146657
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0118189{col 26}{space 2}    .3514{col 37}{space 1}    0.03{col 46}{space 3}0.973{col 54}{space 4}-.6769124{col 67}{space 3} .7005501
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.1094661{col 26}{space 2} .1535128{col 37}{space 1}   -0.71{col 46}{space 3}0.476{col 54}{space 4}-.4103456{col 67}{space 3} .1914135
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0538649{col 26}{space 2} .2004564{col 37}{space 1}   -0.27{col 46}{space 3}0.788{col 54}{space 4}-.4467521{col 67}{space 3} .3390223
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1374544{col 26}{space 2} .2823714{col 37}{space 1}    0.49{col 46}{space 3}0.626{col 54}{space 4}-.4159834{col 67}{space 3} .6908922
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0011052{col 26}{space 2} .1698555{col 37}{space 1}   -0.01{col 46}{space 3}0.995{col 54}{space 4}-.3340158{col 67}{space 3} .3318054
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.6591486{col 26}{space 2} .3100039{col 37}{space 1}   -2.13{col 46}{space 3}0.033{col 54}{space 4}-1.266745{col 67}{space 3}-.0515521
{txt}{space 10}4  {c |}{col 14}{res}{space 2} -.046085{col 26}{space 2} .1738341{col 37}{space 1}   -0.27{col 46}{space 3}0.791{col 54}{space 4}-.3867935{col 67}{space 3} .2946235
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:6,986}

{txt}{ralign 78:(Std. err. adjusted for {res:321} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}         BMI{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-.0048725{col 26}{space 2} .1412127{col 37}{space 1}   -0.03{col 46}{space 3}0.972{col 54}{space 4}-.2816443{col 67}{space 3} .2718994
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Table S9(7) Overweight
. xthdidregress ra (Overweight $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1 & adequateEnergy==1 & Anthropometric==1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     4413
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      254
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1571
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      748
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:6,986}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:3,156}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:321} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0360127{col 26}{space 2} .0487267{col 37}{space 1}    0.74{col 46}{space 3}0.460{col 54}{space 4}-.0594899{col 67}{space 3} .1315152
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0726384{col 26}{space 2} .0480873{col 37}{space 1}   -1.51{col 46}{space 3}0.131{col 54}{space 4}-.1668878{col 67}{space 3}  .021611
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0325395{col 26}{space 2} .0702035{col 37}{space 1}    0.46{col 46}{space 3}0.643{col 54}{space 4}-.1050567{col 67}{space 3} .1701358
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0484759{col 26}{space 2} .0378745{col 37}{space 1}    1.28{col 46}{space 3}0.201{col 54}{space 4}-.0257569{col 67}{space 3} .1227087
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0041375{col 26}{space 2} .0420524{col 37}{space 1}    0.10{col 46}{space 3}0.922{col 54}{space 4}-.0782837{col 67}{space 3} .0865587
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0619963{col 26}{space 2} .0478626{col 37}{space 1}    1.30{col 46}{space 3}0.195{col 54}{space 4}-.0318126{col 67}{space 3} .1558053
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0235467{col 26}{space 2}  .034508{col 37}{space 1}    0.68{col 46}{space 3}0.495{col 54}{space 4}-.0440878{col 67}{space 3} .0911812
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0540125{col 26}{space 2} .0493157{col 37}{space 1}   -1.10{col 46}{space 3}0.273{col 54}{space 4}-.1506695{col 67}{space 3} .0426445
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0149194{col 26}{space 2} .0308991{col 37}{space 1}    0.48{col 46}{space 3}0.629{col 54}{space 4}-.0456418{col 67}{space 3} .0754805
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:6,986}

{txt}{ralign 78:(Std. err. adjusted for {res:321} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  Overweight{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .0199044{col 26}{space 2} .0293294{col 37}{space 1}    0.68{col 46}{space 3}0.497{col 54}{space 4}-.0375801{col 67}{space 3} .0773888
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Table S9(7) Obesity
. xthdidregress ra (Obesity    $controls3 i.wave#i.t1) (SM) if Sample2==1 & alwaystreated!=1 & adequateEnergy==1 & Anthropometric==1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     4413
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      254
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1571
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      748
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:6,986}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:3,156}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:321} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}  .010708{col 26}{space 2} .0191322{col 37}{space 1}    0.56{col 46}{space 3}0.576{col 54}{space 4}-.0267904{col 67}{space 3} .0482065
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0002817{col 26}{space 2} .0290432{col 37}{space 1}   -0.01{col 46}{space 3}0.992{col 54}{space 4}-.0572053{col 67}{space 3} .0566419
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  .012729{col 26}{space 2} .0122536{col 37}{space 1}    1.04{col 46}{space 3}0.299{col 54}{space 4}-.0112875{col 67}{space 3} .0367456
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0148037{col 26}{space 2} .0111636{col 37}{space 1}   -1.33{col 46}{space 3}0.185{col 54}{space 4}-.0366839{col 67}{space 3} .0070765
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0132406{col 26}{space 2} .0128908{col 37}{space 1}   -1.03{col 46}{space 3}0.304{col 54}{space 4}-.0385061{col 67}{space 3} .0120248
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0007622{col 26}{space 2} .0141329{col 37}{space 1}    0.05{col 46}{space 3}0.957{col 54}{space 4}-.0269378{col 67}{space 3} .0284623
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0066814{col 26}{space 2} .0118727{col 37}{space 1}   -0.56{col 46}{space 3}0.574{col 54}{space 4}-.0299515{col 67}{space 3} .0165887
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0694989{col 26}{space 2} .0261395{col 37}{space 1}   -2.66{col 46}{space 3}0.008{col 54}{space 4}-.1207314{col 67}{space 3}-.0182665
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0086779{col 26}{space 2} .0266893{col 37}{space 1}    0.33{col 46}{space 3}0.745{col 54}{space 4}-.0436321{col 67}{space 3} .0609879
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:6,986}

{txt}{ralign 78:(Std. err. adjusted for {res:321} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     Obesity{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} -.002611{col 26}{space 2}  .008116{col 37}{space 1}   -0.32{col 46}{space 3}0.748{col 54}{space 4}-.0185181{col 67}{space 3} .0132961
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. 
{txt}end of do-file

{com}. do "C:\Users\Jayson\AppData\Local\Temp\STD4320_000000.tmp"
{txt}
{com}. 
. **Table S10(1)
. xthdidregress ra (PaidWork         $controls3 i.wave#i.t1) (SM) if Sample1==1 & GENDER==2 & alwaystreated!=1 , group(idind) vce(cluster Commid_GENDER) 
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3685
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      224
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1227
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      686
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:5,822}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,560}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0276117{col 26}{space 2} .0601707{col 37}{space 1}   -0.46{col 46}{space 3}0.646{col 54}{space 4}-.1455442{col 67}{space 3} .0903207
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0779357{col 26}{space 2}  .140825{col 37}{space 1}   -0.55{col 46}{space 3}0.580{col 54}{space 4}-.3539477{col 67}{space 3} .1980762
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1735764{col 26}{space 2} .0899767{col 37}{space 1}   -1.93{col 46}{space 3}0.054{col 54}{space 4}-.3499275{col 67}{space 3} .0027748
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0361716{col 26}{space 2} .0594363{col 37}{space 1}   -0.61{col 46}{space 3}0.543{col 54}{space 4}-.1526646{col 67}{space 3} .0803214
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .1265855{col 26}{space 2} .0680957{col 37}{space 1}    1.86{col 46}{space 3}0.063{col 54}{space 4}-.0068795{col 67}{space 3} .2600506
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0322002{col 26}{space 2} .0999993{col 37}{space 1}    0.32{col 46}{space 3}0.747{col 54}{space 4}-.1637948{col 67}{space 3} .2281952
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.1100474{col 26}{space 2}  .092786{col 37}{space 1}   -1.19{col 46}{space 3}0.236{col 54}{space 4}-.2919046{col 67}{space 3} .0718097
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .1461368{col 26}{space 2} .0974404{col 37}{space 1}    1.50{col 46}{space 3}0.134{col 54}{space 4} -.044843{col 67}{space 3} .3371166
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0701622{col 26}{space 2} .0534952{col 37}{space 1}    1.31{col 46}{space 3}0.190{col 54}{space 4}-.0346864{col 67}{space 3} .1750108
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,822}

{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    PaidWork{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .0508026{col 26}{space 2} .0465567{col 37}{space 1}    1.09{col 46}{space 3}0.275{col 54}{space 4}-.0404469{col 67}{space 3} .1420521
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Table S10(2)
. xthdidregress ra (PaidWork         $controls3 i.wave#i.t1) (SM) if Sample1==1 & GENDER==2 & alwaystreated!=1 & age<=55, group(idind) vce(cluster Commid_GENDER) 
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     2850
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      133
{txt}{space 16}3 {c |}{col 19}{res}{space 3}      819
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      481
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:4,283}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,013}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:166} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0879458{col 26}{space 2} .0860554{col 37}{space 1}   -1.02{col 46}{space 3}0.307{col 54}{space 4}-.2566113{col 67}{space 3} .0807197
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0488822{col 26}{space 2} .1656211{col 37}{space 1}   -0.30{col 46}{space 3}0.768{col 54}{space 4}-.3734936{col 67}{space 3} .2757291
{txt}{space 10}4  {c |}{col 14}{res}{space 2}   .02284{col 26}{space 2} .5166745{col 37}{space 1}    0.04{col 46}{space 3}0.965{col 54}{space 4}-.9898234{col 67}{space 3} 1.035503
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0687535{col 26}{space 2} .0903148{col 37}{space 1}   -0.76{col 46}{space 3}0.446{col 54}{space 4}-.2457673{col 67}{space 3} .1082603
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .2600669{col 26}{space 2} .1155923{col 37}{space 1}    2.25{col 46}{space 3}0.024{col 54}{space 4} .0335102{col 67}{space 3} .4866236
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .2270852{col 26}{space 2} .1268708{col 37}{space 1}    1.79{col 46}{space 3}0.073{col 54}{space 4}-.0215769{col 67}{space 3} .4757473
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.1675013{col 26}{space 2} .0845064{col 37}{space 1}   -1.98{col 46}{space 3}0.047{col 54}{space 4}-.3331307{col 67}{space 3}-.0018719
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .1866772{col 26}{space 2} .1096036{col 37}{space 1}    1.70{col 46}{space 3}0.089{col 54}{space 4}-.0281418{col 67}{space 3} .4014962
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1242883{col 26}{space 2} .0690454{col 37}{space 1}    1.80{col 46}{space 3}0.072{col 54}{space 4}-.0110382{col 67}{space 3} .2596149
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:4,283}

{txt}{ralign 78:(Std. err. adjusted for {res:166} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    PaidWork{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}  .172172{col 26}{space 2} .0741875{col 37}{space 1}    2.32{col 46}{space 3}0.020{col 54}{space 4} .0267671{col 67}{space 3} .3175769
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Table S10(3)
. xthdidregress ra (lnWorkTime       $controls3 i.wave#i.t1) (SM) if Sample1==1 & GENDER==2 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER) 
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     2579
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      169
{txt}{space 16}3 {c |}{col 19}{res}{space 3}      795
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      425
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:3,968}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,000}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:165} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.1601679{col 26}{space 2} .1998894{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.5519438{col 67}{space 3} .2316081
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0335963{col 26}{space 2} .1819902{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4} -.323098{col 67}{space 3} .3902906
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1563427{col 26}{space 2} .1941455{col 37}{space 1}    0.81{col 46}{space 3}0.421{col 54}{space 4}-.2241756{col 67}{space 3} .5368609
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.1238608{col 26}{space 2} .0906922{col 37}{space 1}   -1.37{col 46}{space 3}0.172{col 54}{space 4}-.3016143{col 67}{space 3} .0538926
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0104322{col 26}{space 2} .1220413{col 37}{space 1}   -0.09{col 46}{space 3}0.932{col 54}{space 4}-.2496287{col 67}{space 3} .2287644
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1388275{col 26}{space 2} .2229673{col 37}{space 1}    0.62{col 46}{space 3}0.534{col 54}{space 4}-.2981803{col 67}{space 3} .5758353
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.1688496{col 26}{space 2} .1206275{col 37}{space 1}   -1.40{col 46}{space 3}0.162{col 54}{space 4}-.4052752{col 67}{space 3} .0675759
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .2633874{col 26}{space 2} .1462832{col 37}{space 1}    1.80{col 46}{space 3}0.072{col 54}{space 4}-.0233223{col 67}{space 3} .5500971
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0970647{col 26}{space 2}  .168055{col 37}{space 1}    0.58{col 46}{space 3}0.564{col 54}{space 4}-.2323171{col 67}{space 3} .4264464
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,968}

{txt}{ralign 78:(Std. err. adjusted for {res:165} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  lnWorkTime{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .0362594{col 26}{space 2} .0815259{col 37}{space 1}    0.44{col 46}{space 3}0.656{col 54}{space 4}-.1235284{col 67}{space 3} .1960471
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Table S10(4)
. xthdidregress ra (lnWorkTime       $controls3 i.wave#i.t1) (SM) if Sample1==1 & GENDER==2 & alwaystreated!=1 & age<=55, group(idind) vce(cluster Commid_GENDER) 
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     2181
{txt}{space 16}2 {c |}{col 19}{res}{space 3}       99
{txt}{space 16}3 {c |}{col 19}{res}{space 3}      590
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      349
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:3,219}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:1,687}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:164} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0796439{col 26}{space 2} .1531212{col 37}{space 1}   -0.52{col 46}{space 3}0.603{col 54}{space 4}-.3797559{col 67}{space 3} .2204681
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.3492914{col 26}{space 2} .2097824{col 37}{space 1}   -1.67{col 46}{space 3}0.096{col 54}{space 4}-.7604575{col 67}{space 3} .0618746
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1357979{col 26}{space 2} .6624065{col 37}{space 1}    0.21{col 46}{space 3}0.838{col 54}{space 4}-1.162495{col 67}{space 3} 1.434091
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0113812{col 26}{space 2}  .095409{col 37}{space 1}    0.12{col 46}{space 3}0.905{col 54}{space 4} -.175617{col 67}{space 3} .1983794
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0850299{col 26}{space 2} .1071437{col 37}{space 1}   -0.79{col 46}{space 3}0.427{col 54}{space 4}-.2950276{col 67}{space 3} .1249678
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .2519606{col 26}{space 2} .2258614{col 37}{space 1}    1.12{col 46}{space 3}0.265{col 54}{space 4}-.1907195{col 67}{space 3} .6946408
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0292458{col 26}{space 2} .1267805{col 37}{space 1}   -0.23{col 46}{space 3}0.818{col 54}{space 4} -.277731{col 67}{space 3} .2192394
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .2046234{col 26}{space 2} .1669476{col 37}{space 1}    1.23{col 46}{space 3}0.220{col 54}{space 4}-.1225878{col 67}{space 3} .5318347
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0351934{col 26}{space 2} .1798805{col 37}{space 1}    0.20{col 46}{space 3}0.845{col 54}{space 4} -.317366{col 67}{space 3} .3877527
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,219}

{txt}{ralign 78:(Std. err. adjusted for {res:164} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  lnWorkTime{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .0060202{col 26}{space 2} .0838139{col 37}{space 1}    0.07{col 46}{space 3}0.943{col 54}{space 4} -.158252{col 67}{space 3} .1702925
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Table S10(5)
. xthdidregress ra (lnOtherHousework $controls3 i.wave#i.t1) (SM) if Sample1==1 & GENDER==2 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3685
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      224
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1227
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      686
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:5,822}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,560}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0590823{col 26}{space 2} .0612297{col 37}{space 1}    0.96{col 46}{space 3}0.335{col 54}{space 4}-.0609258{col 67}{space 3} .1790905
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0086478{col 26}{space 2} .1265605{col 37}{space 1}   -0.07{col 46}{space 3}0.946{col 54}{space 4}-.2567018{col 67}{space 3} .2394063
{txt}{space 10}4  {c |}{col 14}{res}{space 2} -.020775{col 26}{space 2} .0612433{col 37}{space 1}   -0.34{col 46}{space 3}0.734{col 54}{space 4}-.1408096{col 67}{space 3} .0992595
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0341666{col 26}{space 2} .0417078{col 37}{space 1}    0.82{col 46}{space 3}0.413{col 54}{space 4}-.0475791{col 67}{space 3} .1159124
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0444147{col 26}{space 2} .0500432{col 37}{space 1}   -0.89{col 46}{space 3}0.375{col 54}{space 4}-.1424976{col 67}{space 3} .0536683
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1278491{col 26}{space 2} .0745702{col 37}{space 1}   -1.71{col 46}{space 3}0.086{col 54}{space 4} -.274004{col 67}{space 3} .0183059
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0497681{col 26}{space 2} .0497223{col 37}{space 1}    1.00{col 46}{space 3}0.317{col 54}{space 4} -.047686{col 67}{space 3} .1472221
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0141743{col 26}{space 2} .0583038{col 37}{space 1}   -0.24{col 46}{space 3}0.808{col 54}{space 4}-.1284476{col 67}{space 3}  .100099
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0061462{col 26}{space 2} .0453627{col 37}{space 1}    0.14{col 46}{space 3}0.892{col 54}{space 4}-.0827631{col 67}{space 3} .0950555
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,822}

{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}lnOtherHou~k{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}-.0450249{col 26}{space 2}  .039482{col 37}{space 1}   -1.14{col 46}{space 3}0.254{col 54}{space 4}-.1224082{col 67}{space 3} .0323584
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. **Table S10(6)
. xthdidregress ra (lnLeisure        $controls3 i.wave#i.t1) (SM) if Sample1==1 & GENDER==2 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER) 
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3685
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      224
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1227
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      686
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:5,822}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,560}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .2201049{col 26}{space 2} .1749586{col 37}{space 1}    1.26{col 46}{space 3}0.208{col 54}{space 4}-.1228076{col 67}{space 3} .5630174
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .1436819{col 26}{space 2} .2794464{col 37}{space 1}    0.51{col 46}{space 3}0.607{col 54}{space 4} -.404023{col 67}{space 3} .6913867
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .2963659{col 26}{space 2} .2142538{col 37}{space 1}    1.38{col 46}{space 3}0.167{col 54}{space 4}-.1235638{col 67}{space 3} .7162956
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0964631{col 26}{space 2} .1090229{col 37}{space 1}    0.88{col 46}{space 3}0.376{col 54}{space 4}-.1172178{col 67}{space 3} .3101439
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0755772{col 26}{space 2} .2150691{col 37}{space 1}    0.35{col 46}{space 3}0.725{col 54}{space 4}-.3459504{col 67}{space 3} .4971048
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .4918875{col 26}{space 2} .1501742{col 37}{space 1}    3.28{col 46}{space 3}0.001{col 54}{space 4} .1975515{col 67}{space 3} .7862234
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .1025316{col 26}{space 2}  .124127{col 37}{space 1}    0.83{col 46}{space 3}0.409{col 54}{space 4}-.1407529{col 67}{space 3} .3458161
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .1331498{col 26}{space 2} .1515286{col 37}{space 1}    0.88{col 46}{space 3}0.380{col 54}{space 4}-.1638407{col 67}{space 3} .4301403
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0437019{col 26}{space 2} .1568453{col 37}{space 1}   -0.28{col 46}{space 3}0.781{col 54}{space 4}-.3511131{col 67}{space 3} .2637093
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,822}

{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   lnLeisure{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2}  .189004{col 26}{space 2}  .114465{col 37}{space 1}    1.65{col 46}{space 3}0.099{col 54}{space 4}-.0353433{col 67}{space 3} .4133513
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. **Table S10(7)
. xthdidregress ra (lnSleeping       $controls3 i.wave#i.t1) (SM) if Sample1==1 & GENDER==2 & alwaystreated!=1, group(idind) vce(cluster Commid_GENDER)
{txt}{p 0 6 2}
note: variable {bf:_did_cohort}, containing cohort indicators
 formed by treatment variable {bf:SM}
 and group variable {bf:idind}, was added to the dataset.
{p_end}
{res}{txt}note: {bf:2004.wave#11.t1} identifies no observations in the sample.
note: {bf:2004.wave#31.t1} identifies no observations in the sample.
note: {bf:2004.wave#55.t1} identifies no observations in the sample.
note: {bf:2006.wave#11.t1} identifies no observations in the sample.
note: {bf:2006.wave#31.t1} identifies no observations in the sample.
note: {bf:2006.wave#55.t1} identifies no observations in the sample.
note: {bf:2009.wave#11.t1} identifies no observations in the sample.
note: {bf:2009.wave#31.t1} identifies no observations in the sample.
note: {bf:2009.wave#55.t1} identifies no observations in the sample.
note: {bf:2011.wave#31.t1} identifies no observations in the sample.
note: {bf:2011.wave#55.t1} omitted because of collinearity.
{res}
{txt}Computing ATET for each cohort and time:{res}
{txt}Cohort {res:2}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:3}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}
{txt}Cohort {res:4}{txt}{space 1}({res:3}): {txt}.{res}{txt}.{res}{txt}. done{res}

{txt}Treatment and time information

Time variable: {result:time}
Time interval: {result:1} to {result:4}
Control:       {result:_did_cohort} = {result:0}
Treatment:     {result:_did_cohort} > {result:0}
{res}{txt}{hline 18}{c TT}{hline 12}
{col 19}{c |} _did_cohort
{hline 18}{c +}{hline 12}
Number of cohorts {c |}{col 19}{res}{space 3}        4
{txt}{hline 18}{c +}{hline 12}
{res}Number of obs     {txt}{c |}
{space 4}Never treated {c |}{col 19}{res}{space 3}     3680
{txt}{space 16}2 {c |}{col 19}{res}{space 3}      224
{txt}{space 16}3 {c |}{col 19}{res}{space 3}     1227
{txt}{space 16}4 {c |}{col 19}{res}{space 3}      686
{txt}{hline 18}{c BT}{hline 12}

{col 1}Heterogeneous-treatment-effects regression{col 55}{lalign 16:Number of obs}{col 71} = {res}{ralign 5:5,817}
{txt}{col 55}{lalign 16:Number of panels}{col 71} = {res}{ralign 5:2,555}
{txt}Estimator:       {txt:Regression adjustment}
Panel variable:  {result:idind}
Treatment level: {result:idind}
Control group:   {txt:Never treated}

{res}{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}Cohort      {col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0233626{col 26}{space 2} .0381256{col 37}{space 1}    0.61{col 46}{space 3}0.540{col 54}{space 4}-.0513622{col 67}{space 3} .0980875
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0052816{col 26}{space 2} .0354275{col 37}{space 1}    0.15{col 46}{space 3}0.881{col 54}{space 4} -.064155{col 67}{space 3} .0747183
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  .054238{col 26}{space 2} .0445071{col 37}{space 1}    1.22{col 46}{space 3}0.223{col 54}{space 4}-.0329943{col 67}{space 3} .1414703
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0014243{col 26}{space 2} .0260863{col 37}{space 1}   -0.05{col 46}{space 3}0.956{col 54}{space 4}-.0525526{col 67}{space 3}  .049704
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0005478{col 26}{space 2} .0426582{col 37}{space 1}   -0.01{col 46}{space 3}0.990{col 54}{space 4}-.0841563{col 67}{space 3} .0830606
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0174372{col 26}{space 2} .0271735{col 37}{space 1}    0.64{col 46}{space 3}0.521{col 54}{space 4}-.0358218{col 67}{space 3} .0706962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}4            {txt}{c |}
{space 8}time {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0171095{col 26}{space 2} .0237962{col 37}{space 1}    0.72{col 46}{space 3}0.472{col 54}{space 4}-.0295302{col 67}{space 3} .0637492
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0223669{col 26}{space 2} .0243385{col 37}{space 1}   -0.92{col 46}{space 3}0.358{col 54}{space 4}-.0700695{col 67}{space 3} .0253356
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0109022{col 26}{space 2} .0249204{col 37}{space 1}    0.44{col 46}{space 3}0.662{col 54}{space 4}-.0379409{col 67}{space 3} .0597454
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: ATET computed using covariates.{p_end}
{res}{txt}
{com}. estat aggregation
{res}
{txt}{col 1}Overall ATET{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:5,817}

{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:Commid_GENDER})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  lnSleeping{col 14}{c |}       ATET{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}SM {c |}
{space 3}(1 vs 0)  {c |}{col 14}{res}{space 2} .0114317{col 26}{space 2} .0199671{col 37}{space 1}    0.57{col 46}{space 3}0.567{col 54}{space 4} -.027703{col 67}{space 3} .0505664
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. 
{txt}end of do-file

{com}. do "C:\Users\Jayson\AppData\Local\Temp\STD4320_000000.tmp"
{txt}
{com}. 
. 
. clear
{txt}
{com}. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Jayson\Desktop\Regression_Analysis.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}13 Feb 2025, 02:22:48
{txt}{.-}
{smcl}
{txt}{sf}{ul off}